diff --git a/try_dspy.ipynb b/try_dspy.ipynb new file mode 100644 index 0000000..5033f40 --- /dev/null +++ b/try_dspy.ipynb @@ -0,0 +1,1942 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import pathlib\n", + "import dspy\n", + "from dspy import Example\n", + "from dspy.evaluate.evaluate import Evaluate\n", + "from dspy.evaluate.metrics import answer_exact_match\n", + "from dspy import Signature, InputField, OutputField\n", + "from pydantic import BaseModel, Field\n", + "from datetime import datetime\n", + "from dspy.teleprompt import MIPRO, BootstrapFewShotWithRandomSearch" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "class Problem(BaseModel):\n", + " problem_dir: pathlib.Path = Field(\n", + " ..., description=\"The path to the problem directory\"\n", + " )\n", + " problem_name: str = Field(..., description=\"The name of the problem\")\n", + " problem_description: str = Field(..., description=\"The description of the problem\")\n", + " sample_input: str = Field(..., description=\"The sample input of the problem\")\n", + " sample_output: str = Field(..., description=\"The sample output of the problem\")\n", + " problem_input: pathlib.Path = Field(..., description=\"The path to the input file\")\n", + " problem_output: pathlib.Path = Field(..., description=\"The path to the output file\")\n", + " solution: str = Field(..., description=\"The solution to the problem\")\n", + "\n", + " @property\n", + " def as_xml(self) -> str:\n", + " return f\"\"\"\n", + "\n", + "\n", + "{self.problem_description}\n", + "\n", + "\n", + "\n", + "{self.sample_input}\n", + "\n", + "\n", + "{self.sample_output}\n", + "\n", + "\n", + "\n", + "\"\"\"\n", + "\n", + "\n", + "def load_problem(problem_name: str, problem_dir: pathlib.Path) -> Problem:\n", + " problem_input = problem_dir / f\"{problem_name}.in\"\n", + " problem_output = problem_dir / f\"{problem_name}.out\"\n", + " sample_input = problem_dir / f\"{problem_name}_sample_input.txt\"\n", + " sample_output = problem_dir / f\"{problem_name}_sample_output.txt\"\n", + " problem_description = problem_dir / f\"{problem_name}.md\"\n", + " solution = problem_dir / f\"{problem_name}_sol.md\"\n", + " return Problem(\n", + " problem_dir=problem_dir,\n", + " problem_name=problem_name,\n", + " problem_description=problem_description.read_text(),\n", + " sample_input=sample_input.read_text(),\n", + " sample_output=sample_output.read_text(),\n", + " problem_input=problem_input,\n", + " problem_output=problem_output,\n", + " solution=solution.read_text(),\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error loading problem zero_crossings_ch1: [Errno 2] No such file or directory: 'dataset/2022/round3/zero_crossings_ch1.md'\n" + ] + } + ], + "source": [ + "problems = list(pathlib.Path(\"dataset/\").rglob(\"*.in\"))\n", + "eval_problems = list(filter(lambda x: \"2022/final\" in str(x), problems))\n", + "test_problems = list(filter(lambda x: \"2023/practice\" in str(x), problems))\n", + "train_problems = list(filter(lambda x: x not in eval_problems + test_problems, problems))\n", + "\n", + "\n", + "def load_problem_from_path(problem_path: pathlib.Path):\n", + " problem_name = problem_path.stem\n", + " problem_dir = problem_path.parent\n", + " try:\n", + " problem = load_problem(problem_name, problem_dir)\n", + " except Exception as e:\n", + " print(f\"Error loading problem {problem_name}: {e}\")\n", + " return None\n", + " return problem\n", + "\n", + "\n", + "\n", + "# in 2022 there are some problems that are missing the sample input and output\n", + "train_problems = list(l for l in map(load_problem_from_path, train_problems) if l is not None)\n", + "eval_problems = list(l for l in map(load_problem_from_path, eval_problems) if l is not None)\n", + "test_problems = list(l for l in map(load_problem_from_path, test_problems) if l is not None)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(44, 6, 5)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(len(train_problems), len(eval_problems), len(test_problems))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "trainset = [Example(\n", + " problem_statement=problem.problem_description,\n", + " sample_input=problem.sample_input,\n", + " sample_output=problem.sample_output,\n", + " solution=problem.solution).with_inputs(\"problem_statement\", \"sample_input\", \"sample_output\") for problem in train_problems]\n", + "\n", + "devset = [Example(\n", + " problem_statement=problem.problem_description,\n", + " sample_input=problem.sample_input,\n", + " sample_output=problem.sample_output,\n", + " solution=problem.solution).with_inputs(\"problem_statement\", \"sample_input\", \"sample_output\") for problem in eval_problems]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "weave version 0.51.7 is available! To upgrade, please run:\n", + " $ pip install weave --upgrade\n", + "Logged in as Weights & Biases user: capecape.\n", + "View Weave data at https://wandb.ai/capecape/dspy_hackercup/weave\n" + ] + } + ], + "source": [ + "import weave\n", + "weave.init(\"dspy_hackercup\")\n", + "\n", + "MODEL = \"mistral-large-latest\"\n", + "\n", + "from dsp import LM\n", + "from typing import Any\n", + "import json\n", + "from mistralai import Mistral # requires mistralai>1.0\n", + "\n", + "class MistralLM(LM):\n", + "\n", + " def __init__(self, model, api_key, **kwargs):\n", + " self.model = model\n", + " self.api_key = api_key\n", + " self.client = Mistral(api_key=api_key)\n", + " self.kwargs = {\n", + " \"temperature\": 0.17,\n", + " \"max_tokens\": 150,\n", + " **kwargs,\n", + " }\n", + " self.history: list[dict[str, Any]] = []\n", + " self.provider = \"mistralai\"\n", + "\n", + " def basic_request(self, prompt: str, **kwargs):\n", + "\n", + " # Mistral disallows \"n\" arguments\n", + " n = kwargs.pop(\"n\", None)\n", + " if n is not None and n > 1 and kwargs[\"temperature\"] == 0.0:\n", + " kwargs[\"temperature\"] = 0.7\n", + "\n", + " chat_response = self.client.chat.complete(\n", + " model=self.model,\n", + " messages=[\n", + " dict(role=\"user\", content=prompt)\n", + " ],\n", + " **kwargs\n", + " )\n", + " response_dict = json.loads(chat_response.model_dump_json())\n", + "\n", + " self.history.append({\n", + " \"prompt\": prompt,\n", + " \"response\": response_dict, #{\"choices\": chat_response.choices[0].message.content},\n", + " \"kwargs\": kwargs,\n", + " })\n", + "\n", + " return chat_response\n", + "\n", + " def __call__(self, prompt, only_completed=True, return_sorted=False, **kwargs):\n", + " response = self.request(prompt, **kwargs)\n", + " completions = [response.choices[0].message.content] \n", + " return completions\n", + "\n", + " def _get_choice_text(self, choice: dict[str, Any]) -> str:\n", + "\n", + " return choice[\"message\"][\"content\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "mistral = MistralLM(model=MODEL, api_key=os.environ[\"MISTRAL_API_KEY\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's test the endpoint" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffeb-4003-7b91-85d4-adf0c39dd398\n" + ] + }, + { + "data": { + "text/plain": [ + "['Hello! How are you today? How can I assist you? 😊']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mistral(\"hello\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "dspy.settings.configure(lm=mistral)\n", + "dspy.configure(experimental=True)\n", + "\n", + "\n", + "@weave.op\n", + "def validate_solution(example, prediction, trace=None, frac=0.8):\n", + " \n", + " result = answer_exact_match(\n", + " example=Example(answer=example.solution),\n", + " pred=Example(answer=prediction.solution),\n", + " trace=trace, \n", + " frac=frac)\n", + " return result\n", + "\n", + "from dsp.utils import F1\n", + "\n", + "def f1(example, prediction, trace=None,):\n", + " return F1(example.solution, [prediction.solution])\n", + "\n", + "# Setup evaluation function\n", + "evaluate = Evaluate(\n", + " devset=devset,\n", + " num_threads=6, # Note: Set this to 1 for debugging purposes \n", + " display_progress=True,\n", + " display_table=5,\n", + " metric=f1\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's understand dspy.answer_match and the underlying F1 metric" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from dspy import dsp\n", + "\n", + "\n", + "dsp.answer_match(\"You are helpful\", [\"You are not helpful in you work\"], frac=0.8)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.6" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "F1(\"You are helpful\", [\"You are not helpful in you work\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "class GenerateSolution(Signature):\n", + " \"\"\"You are an expert problem solver. Your task is to solve the problem at hand.\n", + "\n", + " When solving a competitive programming problem, start by thoroughly reading and understanding the problem statement, including all constraints and input/output formats.\n", + " Identify the key elements, analyze sample inputs/outputs, and consider edge cases.\n", + " Look for patterns or mathematical relationships, then develop a logical approach, breaking the problem into subproblems if needed. \n", + " Explain the core insight in simple terms, followed by a step-by-step explanation of the solution.\n", + " Use clear language and visual aids if helpful. Discuss optimization techniques, alternative approaches, and special cases. \n", + " Address time and space complexity, and provide pseudocode if appropriate. \n", + " Finally, proofread the solution for clarity and completeness, ensuring it's accessible to readers with varying levels of programming experience.\n", + " Note: You are not expected to write the code for the solution, just provide a solution explanation so that an experienced developer can write the code for the solution.\n", + " \"\"\"\n", + "\n", + " problem_statement: str = InputField(format=str)\n", + " sample_input: str = InputField(format=str, desc=\"The sample input provided with the problem statement.\")\n", + " sample_output: str = InputField(format=str, desc=\"The sample output provided with the problem statement.\")\n", + " solution: str = OutputField(\n", + " format=str, desc=\"a solution explanation for how we should go about solving this problem.\"\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffeb-8ffd-7851-8c22-73766c3832e0\n" + ] + }, + { + "data": { + "text/plain": [ + "\"### Problem Statement:\\nYou have \\\\(N\\\\) tries. The \\\\(i\\\\)th trie has \\\\(M_i\\\\) nodes and \\\\(M_i - 1\\\\) edges, with node \\\\(1\\\\) being the root, and node \\\\(j\\\\)'s parent being \\\\(P_{i,j}\\\\), for \\\\(j = 2..\"" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dspy.ChainOfThought(GenerateSolution)(\n", + " problem_statement=trainset[0].problem_statement, \n", + " sample_input=trainset[0].sample_input, \n", + " sample_output=trainset[0].sample_output\n", + " ).solution\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "class SimpleGenerateSolution(dspy.Module):\n", + " def __init__(self):\n", + " super().__init__()\n", + " self.generate_code = dspy.ChainOfThought(GenerateSolution)\n", + "\n", + " def forward(self, problem_statement, sample_input, sample_output):\n", + " solution = self.generate_code(\n", + " problem_statement=problem_statement,\n", + " sample_input=sample_input,\n", + " sample_output=sample_output\n", + " ).solution\n", + "\n", + " return dspy.Prediction(solution=solution)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "simple_program = SimpleGenerateSolution()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.048109965635738834 / 1 (4.8): 17%|β–ˆβ–‹ | 1/6 [00:36<03:00, 36.15s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffec-9f54-7af2-96b4-c4831b230b62\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.15945017182130586 / 2 (8.0): 33%|β–ˆβ–ˆβ–ˆβ–Ž | 2/6 [00:40<01:09, 17.41s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffec-9f4b-7730-afe5-0d096b512415\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.4336640082992933 / 3 (14.5): 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3/6 [00:46<00:36, 12.13s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffec-a058-7bf0-ace1-354f3071ce1a\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.5001091910235458 / 4 (12.5): 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 4/6 [01:00<00:25, 12.92s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffec-9ff6-7b52-b5c2-65a688a07541\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.5373762717688874 / 5 (10.7): 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 5/6 [01:09<00:11, 11.56s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffec-9ee7-77c0-90c0-ef7909f54c1e\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.5900078507162558 / 6 (9.8): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 6/6 [01:14<00:00, 12.46s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffec-a01b-7c02-af04-9ed6236f10d2\n", + "Average Metric: 0.5900078507162558 / 6 (9.8%)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 problem_statementsample_inputsample_outputexample_solutionpred_solutionf1
0Ishiko is opening a bracelet shop. Each bracelet she plans to sell is expressed as a ring of \\(N\\) colored beads, with exactly \\(K\\) green...4\n", + "5 3\n", + "6 3\n", + "6 2\n", + "243447 42273\n", + "Case #1: 1\n", + "Case #2: 2\n", + "Case #3: 4\n", + "Case #4: 4\n", + "First we need to determine how many bracelets Ishiko is going to exhibit. When \\(N = K\\) (that is, when all of the beads are...### Problem Statement: Ishiko is opening a bracelet shop. Each bracelet she plans to sell is expressed as a ring of \\(N\\) colored beads, with...0.11134020618556702
1Boss Rob planted \\(N\\) happy little hazel trees in his yard (represented on a Cartesian plane). The \\(i\\)th tree is at integer coordinates \\((X_i, Y_i)\\)....3 4 0 0 2 1 5 0 0 6 5 10 10 12 10 8 10 5 10 8 8 4 1 1 3...Case #1: 20\n", + "Case #2: 28\n", + "Case #3: 42\n", + "First, we'll note a greedy philosophy that if we can simply use a \\(2 \\times 2\\) square around all trees, that’d be the best solution...### Problem Statement: Boss Rob planted \\(N\\) happy little hazel trees in his yard (represented on a Cartesian plane). The \\(i\\)th tree is at integer...0.048109965635738834
2Alphonse is assembling an *alphabet tree* and arranging some adventures along the way. An alphabet tree is an unrooted tree with \\(N\\) nodes (numbered from...3 9 1 2 M 1 3 E 1 4 T 4 9 A 2 5 T 2 6 E 3 7 A 3 8...Case #1: 6 9 2 9 10\n", + "Case #2: 2 1 6 4\n", + "Case #3: 1 1 2\n", + "The first thing to do is root the tree, for which we can arbitrarily choose node \\(1\\). Each journey can be done in two phases:...### Problem Statement: Alphonse is assembling an *alphabet tree* and arranging some adventures along the way. An alphabet tree is an unrooted tree with \\(N\\)...0.05263157894736842
3Courtney has an avant-garde kitchen counter made out of \\(N\\) rectangular sheets of metal of equal height, standing perpendicular to the ground. When viewed directly...2\n", + "3 1 4\n", + "0 0\n", + "2 2\n", + "4 0\n", + "5 1 4\n", + "0 0\n", + "1 2\n", + "0 3\n", + "4 3\n", + "3 1\n", + "Case #1: 0.1169663730642699\n", + "Case #2: 0.1353445414060363\n", + "Let's call a position where the circle doesn't fall *stable*. First, let's see how we can check whether a given point is stable. Consider all...1. **Understand the Geometry**: - The problem involves a polygon defined by \\(N\\) edges. - The cup is modeled as a circle with radius \\(R\\)....0.27421383647798747
4You just landed a job as a machine learning engineer! As a ramp-up exercise, Boss Rob tasked you with modeling the watering wells in his...2 500 18.243577 16.343618 24.560940 7.478552 13.664297 0.348593 19.766713 16.871980 14.052491 10.567715 21.426414 5.786941 20.495098 -0.246197 20.706538 14.324784 13.240629 9.591812 18.131521 1.645394 13.085966 5.206907 12.705525...Case #1: 6 10 30 2 19\n", + "Case #2: 40 50 38 45 13\n", + "There are many ways you might approach this problem, but a simple one is to find the pair of circles that contain all the given...### Solution Explanation To solve the problem of predicting the exact values of \\(A_x\\), \\(A_y\\), \\(B_x\\), \\(B_y\\), and \\(R\\) based on the planted tree coordinates...0.06644518272425248
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\n", + " " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffec-9c77-70d2-9b21-cfe2f867bb1b\n" + ] + }, + { + "data": { + "text/plain": [ + "9.83" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "evaluate(program=simple_program, devset=devset)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "def optimize_with_bootstrap_fewshot(program, task_model, teacher_model, metric, trainset):\n", + " rs_optimizer = BootstrapFewShotWithRandomSearch(\n", + " metric=metric,\n", + " num_threads=8,\n", + " num_candidate_programs=2,\n", + " max_labeled_demos=0,\n", + " max_bootstrapped_demos=2,\n", + " max_errors=10000,\n", + " teacher_settings=dict(lm=teacher_model)\n", + " )\n", + " \n", + " optimized_program = rs_optimizer.compile(\n", + " program,\n", + " trainset=trainset,\n", + " )\n", + "\n", + " now = datetime.now()\n", + " date_time = now.strftime(\"%Y%m%d_%H%M%S\")\n", + "\n", + " optimized_program.save(f\"fewshot_optimized_{date_time}\")\n", + "\n", + "\n", + " return optimized_program" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Going to sample between 1 and 2 traces per predictor.\n", + "Will attempt to train 2 candidate sets.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.07500000000000001 / 1 (7.5): 20%|β–ˆβ–ˆ | 1/5 [00:37<02:29, 37.27s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffff-3e04-73b2-acfe-8b880075dd5e\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.137015503875969 / 2 (6.9): 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 2/5 [00:44<00:57, 19.32s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffff-3e0a-7ff3-9de2-e6a8fe141e02\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.21108957795004307 / 3 (7.0): 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3/5 [00:46<00:23, 11.84s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffff-3e59-7340-95d3-dd0941b5bc48\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.2511898285766095 / 4 (6.3): 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 4/5 [00:53<00:09, 9.85s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffff-3e44-7bf1-81b9-4e00765efc35\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.37809338187610186 / 5 (7.6): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 5/5 [00:55<00:00, 11.10s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffff-3e17-7081-8603-892d4626cda9\n", + "Average Metric: 0.37809338187610186 / 5 (7.6%)\n", + "Score: 7.56 for set: [0]\n", + "New best score: 7.56 for seed -3\n", + "Scores so far: [7.56]\n", + "Best score: 7.56\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.04827586206896552 / 1 (4.8): 20%|β–ˆβ–ˆ | 1/5 [00:36<02:25, 36.48s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920000-17ab-7233-96fe-19634cd58e19\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.12327586206896553 / 2 (6.2): 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 2/5 [00:39<00:49, 16.61s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920000-176b-7121-911d-37c5b91f07a6\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.213752052545156 / 3 (7.1): 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3/5 [00:44<00:23, 11.67s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920000-1798-7491-b894-c16b1f9c392e\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.275767556421125 / 4 (6.9): 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 4/5 [00:45<00:07, 7.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920000-1778-7ec1-a55a-774fccab57e5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.6931345031998364 / 5 (13.9): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 5/5 [01:03<00:00, 12.74s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920000-177e-7003-b187-b8605ffc6469\n", + "Average Metric: 0.6931345031998364 / 5 (13.9%)\n", + "Score: 13.86 for set: [0]\n", + "New best score: 13.86 for seed -2\n", + "Scores so far: [7.56, 13.86]\n", + "Best score: 13.86\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 2/5 [01:09<01:44, 34.83s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bootstrapped 2 full traces after 3 examples in round 0.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.054187192118226604 / 1 (5.4): 20%|β–ˆβ–ˆ | 1/5 [00:55<03:40, 55.10s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920002-20de-7121-b53e-b192df311ab2\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.1291871921182266 / 2 (6.5): 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 2/5 [00:58<01:14, 24.89s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920002-20ab-7fd0-a3fc-e400b52468c9\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.1760621921182266 / 3 (5.9): 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3/5 [01:00<00:28, 14.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920002-20bd-78d2-8144-bbf21a2cf8f5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.2380776959941956 / 4 (6.0): 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 4/5 [02:26<00:42, 42.44s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920002-20b1-7d21-9d58-111a58299815\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.2856967436132432 / 5 (5.7): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 5/5 [04:18<00:00, 51.78s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920002-20e3-7d51-8a6a-90f77e176ee6\n", + "Average Metric: 0.2856967436132432 / 5 (5.7%)\n", + "Score: 5.71 for set: [2]\n", + "Scores so far: [7.56, 13.86, 5.71]\n", + "Best score: 13.86\n", + "Average of max per entry across top 1 scores: 0.13862690063996727\n", + "Average of max per entry across top 2 scores: 0.14397172822617418\n", + "Average of max per entry across top 3 scores: 0.14397172822617418\n", + "Average of max per entry across top 5 scores: 0.14397172822617418\n", + "Average of max per entry across top 8 scores: 0.14397172822617418\n", + "Average of max per entry across top 9999 scores: 0.14397172822617418\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 2/5 [01:46<02:39, 53.12s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bootstrapped 2 full traces after 3 examples in round 0.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.08955223880597014 / 1 (9.0): 20%|β–ˆβ–ˆ | 1/5 [00:37<02:29, 37.32s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920007-b350-7fd1-a02e-1523b85f0b74\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.16387656313029447 / 2 (8.2): 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 2/5 [00:41<00:52, 17.60s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920007-b393-7e53-a5ee-e369e69da7e2\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.4927286830889295 / 3 (16.4): 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3/5 [01:44<01:16, 38.45s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920007-b37c-72b1-a9fc-a9d1ea66633b\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.5677286830889294 / 4 (14.2): 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 4/5 [03:47<01:11, 71.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920007-b34b-73f2-b60f-9b7597d825f9\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.9547673869593165 / 5 (19.1): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 5/5 [06:01<00:00, 72.21s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920007-b369-7102-b91a-a2ca80440bf0\n", + "Average Metric: 0.9547673869593165 / 5 (19.1%)\n", + "Score: 19.1 for set: [2]\n", + "New best score: 19.1 for seed 0\n", + "Scores so far: [7.56, 13.86, 5.71, 19.1]\n", + "Best score: 19.1\n", + "Average of max per entry across top 1 scores: 0.1909534773918633\n", + "Average of max per entry across top 2 scores: 0.19715426110866333\n", + "Average of max per entry across top 3 scores: 0.19715426110866333\n", + "Average of max per entry across top 5 scores: 0.19715426110866333\n", + "Average of max per entry across top 8 scores: 0.19715426110866333\n", + "Average of max per entry across top 9999 scores: 0.19715426110866333\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 20%|β–ˆβ–ˆ | 1/5 [00:57<03:50, 57.67s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bootstrapped 1 full traces after 2 examples in round 0.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.06425702811244981 / 1 (6.4): 20%|β–ˆβ–ˆ | 1/5 [00:37<02:31, 37.91s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0192000e-173c-7a03-b317-7b34acca518a\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.13869871545736295 / 2 (6.9): 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 2/5 [00:54<01:16, 25.64s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0192000e-1743-7f10-8598-faf9c3a9024e\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.22450729631544877 / 3 (7.5): 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3/5 [01:08<00:39, 20.00s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0192000e-1786-7531-b215-f080751bfbef\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.3514108496149412 / 4 (8.8): 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 4/5 [01:09<00:12, 12.55s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0192000e-1756-7601-bdaf-568d5710bda5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.42352623423032576 / 5 (8.5): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 5/5 [01:10<00:00, 14.02s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0192000e-175c-7302-b28c-334da9cf2345\n", + "Average Metric: 0.42352623423032576 / 5 (8.5%)\n", + "Score: 8.47 for set: [1]\n", + "Scores so far: [7.56, 13.86, 5.71, 19.1, 8.47]\n", + "Best score: 19.1\n", + "Average of max per entry across top 1 scores: 0.1909534773918633\n", + "Average of max per entry across top 2 scores: 0.19715426110866333\n", + "Average of max per entry across top 3 scores: 0.20753497176856178\n", + "Average of max per entry across top 5 scores: 0.20753497176856178\n", + "Average of max per entry across top 8 scores: 0.20753497176856178\n", + "Average of max per entry across top 9999 scores: 0.20753497176856178\n", + "5 candidate programs found.\n", + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/0191ffff-3e01-7e80-a448-ebc211783b0e\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "optimized_program = optimize_with_bootstrap_fewshot(simple_program, mistral, mistral, f1, trainset[0:5])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "generate_code = ChainOfThought(GenerateSolution(problem_statement, sample_input, sample_output -> solution\n", + " instructions=\"You are an expert problem solver. Your task is to solve the problem at hand.\\n\\n When solving a competitive programming problem, start by thoroughly reading and understanding the problem statement, including all constraints and input/output formats.\\n Identify the key elements, analyze sample inputs/outputs, and consider edge cases.\\n Look for patterns or mathematical relationships, then develop a logical approach, breaking the problem into subproblems if needed. \\n Explain the core insight in simple terms, followed by a step-by-step explanation of the solution.\\n Use clear language and visual aids if helpful. Discuss optimization techniques, alternative approaches, and special cases. \\n Address time and space complexity, and provide pseudocode if appropriate. \\n Finally, proofread the solution for clarity and completeness, ensuring it's accessible to readers with varying levels of programming experience.\\n Note: You are not expected to write the code for the solution, just provide a solution explanation so that an experienced developer can write the code for the solution.\\n \"\n", + " problem_statement = Field(annotation=str required=True json_schema_extra={'format': , '__dspy_field_type': 'input', 'prefix': 'Problem Statement:', 'desc': '${problem_statement}'})\n", + " sample_input = Field(annotation=str required=True json_schema_extra={'format': , 'desc': 'The sample input provided with the problem statement.', '__dspy_field_type': 'input', 'prefix': 'Sample Input:'})\n", + " sample_output = Field(annotation=str required=True json_schema_extra={'format': , 'desc': 'The sample output provided with the problem statement.', '__dspy_field_type': 'input', 'prefix': 'Sample Output:'})\n", + " solution = Field(annotation=str required=True json_schema_extra={'format': , 'desc': 'a solution explanation for how we should go about solving this problem.', '__dspy_field_type': 'output', 'prefix': 'Solution:'})\n", + "))" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "optimized_program" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.11134020618556702 / 1 (11.1): 17%|β–ˆβ–‹ | 1/6 [00:42<03:33, 42.78s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920010-0e28-7053-8db3-16f82422ac7f\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.1526625202351538 / 2 (7.6): 33%|β–ˆβ–ˆβ–ˆβ–Ž | 2/6 [00:56<01:42, 25.50s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920010-0e70-77d1-aae1-9a44f8d1abfd\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.21462038888447227 / 3 (7.2): 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 3/6 [01:02<00:50, 16.82s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920010-0eb5-7261-a97a-c52643e7f5fb\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.2626478331383316 / 4 (6.6): 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 4/6 [01:05<00:22, 11.38s/it] " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920010-0e34-7162-9ff6-7bcb46f555a5\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.32034014083063933 / 5 (6.4): 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 5/6 [01:07<00:07, 7.87s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920010-0ea3-7be3-9800-96b81b2525b4\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Average Metric: 0.37297171977800775 / 6 (6.2): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 6/6 [01:20<00:00, 13.42s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "🍩 https://wandb.ai/capecape/dspy_hackercup/r/call/01920010-0e51-7b60-a445-0d5b6e870d08\n", + "Average Metric: 0.37297171977800775 / 6 (6.2%)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 problem_statementsample_inputsample_outputexample_solutionpred_solutionf1
0Ishiko is opening a bracelet shop. Each bracelet she plans to sell is expressed as a ring of \\(N\\) colored beads, with exactly \\(K\\) green...4\n", + "5 3\n", + "6 3\n", + "6 2\n", + "243447 42273\n", + "Case #1: 1\n", + "Case #2: 2\n", + "Case #3: 4\n", + "Case #4: 4\n", + "First we need to determine how many bracelets Ishiko is going to exhibit. When \\(N = K\\) (that is, when all of the beads are...### Problem Statement: Ishiko is opening a bracelet shop. Each bracelet she plans to sell is expressed as a ring of \\(N\\) colored beads, with...0.11134020618556702
1Boss Rob planted \\(N\\) happy little hazel trees in his yard (represented on a Cartesian plane). The \\(i\\)th tree is at integer coordinates \\((X_i, Y_i)\\)....3 4 0 0 2 1 5 0 0 6 5 10 10 12 10 8 10 5 10 8 8 4 1 1 3...Case #1: 20\n", + "Case #2: 28\n", + "Case #3: 42\n", + "First, we'll note a greedy philosophy that if we can simply use a \\(2 \\times 2\\) square around all trees, that’d be the best solution...### Problem Statement: Boss Rob planted \\(N\\) happy little hazel trees in his yard, represented on a Cartesian plane. The \\(i\\)th tree is at integer...0.048027444253859346
2Alphonse is assembling an *alphabet tree* and arranging some adventures along the way. An alphabet tree is an unrooted tree with \\(N\\) nodes (numbered from...3 9 1 2 M 1 3 E 1 4 T 4 9 A 2 5 T 2 6 E 3 7 A 3 8...Case #1: 6 9 2 9 10\n", + "Case #2: 2 1 6 4\n", + "Case #3: 1 1 2\n", + "The first thing to do is root the tree, for which we can arbitrarily choose node \\(1\\). Each journey can be done in two phases:...### Problem Statement: Alphonse is assembling an *alphabet tree* and arranging some adventures along the way. An alphabet tree is an unrooted tree with \\(N\\)...0.05263157894736842
3Courtney has an avant-garde kitchen counter made out of \\(N\\) rectangular sheets of metal of equal height, standing perpendicular to the ground. When viewed directly...2\n", + "3 1 4\n", + "0 0\n", + "2 2\n", + "4 0\n", + "5 1 4\n", + "0 0\n", + "1 2\n", + "0 3\n", + "4 3\n", + "3 1\n", + "Case #1: 0.1169663730642699\n", + "Case #2: 0.1353445414060363\n", + "Let's call a position where the circle doesn't fall *stable*. First, let's see how we can check whether a given point is stable. Consider all...### Problem Statement: Courtney has an avant-garde kitchen counter made out of \\(N\\) rectangular sheets of metal of equal height, standing perpendicular to the ground....0.04132231404958678
4You just landed a job as a machine learning engineer! As a ramp-up exercise, Boss Rob tasked you with modeling the watering wells in his...2 500 18.243577 16.343618 24.560940 7.478552 13.664297 0.348593 19.766713 16.871980 14.052491 10.567715 21.426414 5.786941 20.495098 -0.246197 20.706538 14.324784 13.240629 9.591812 18.131521 1.645394 13.085966 5.206907 12.705525...Case #1: 6 10 30 2 19\n", + "Case #2: 40 50 38 45 13\n", + "There are many ways you might approach this problem, but a simple one is to find the pair of circles that contain all the given...### Problem Statement: Boss Rob has a fence made of \\(N\\) wooden stakes, numbered \\(1\\) to \\(N\\). Initially, the \\(i\\)th stake is of color \\(i\\)....0.0576923076923077
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If the projected costs exceed your budget or expectations, you may consider:\n", + "\n", + "\u001b[93m- Reducing the number of trials (`num_trials`), the size of the trainset, or the number of LM calls in your program.\u001b[0m\n", + "\u001b[93m- Using a cheaper task model to optimize the prompt.\u001b[0m\n", + "To proceed with the execution of this program, please confirm by typing \u001b[94m'y'\u001b[0m for yes or \u001b[94m'n'\u001b[0m for no.\n", + "\n", + "If you would like to bypass this confirmation step in future executions, set the \u001b[93m`requires_permission_to_run`\u001b[0m flag to \u001b[93m`False`.\u001b[0m\n", + "\n", + "\u001b[93mAwaiting your input...\u001b[0m\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/5 [00:59 28\u001b[0m mipro_optimized_program \u001b[38;5;241m=\u001b[39m \u001b[43moptimize_with_mipro\u001b[49m\u001b[43m(\u001b[49m\u001b[43msimple_program\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmistral\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmistral\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mf1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrainset\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m:\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[33], line 11\u001b[0m, in \u001b[0;36moptimize_with_mipro\u001b[0;34m(program, prompt_model, task_model, metric, trainset)\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21moptimize_with_mipro\u001b[39m(program, prompt_model, task_model, metric, trainset):\n\u001b[1;32m 2\u001b[0m teleprompter \u001b[38;5;241m=\u001b[39m MIPRO(\n\u001b[1;32m 3\u001b[0m prompt_model\u001b[38;5;241m=\u001b[39mprompt_model,\n\u001b[1;32m 4\u001b[0m task_model\u001b[38;5;241m=\u001b[39mtask_model,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 8\u001b[0m verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m 9\u001b[0m )\n\u001b[0;32m---> 11\u001b[0m optimized_program \u001b[38;5;241m=\u001b[39m \u001b[43mteleprompter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompile\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 12\u001b[0m \u001b[43m \u001b[49m\u001b[43mprogram\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdeepcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 13\u001b[0m \u001b[43m \u001b[49m\u001b[43mnum_trials\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 14\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrainset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrainset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 15\u001b[0m \u001b[43m \u001b[49m\u001b[43meval_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mnum_threads\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m8\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 16\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_bootstrapped_demos\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# 0-shot optimization\u001b[39;49;00m\n\u001b[1;32m 17\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_labeled_demos\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 18\u001b[0m \u001b[43m \u001b[49m\u001b[43mseed\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m9\u001b[39;49m\n\u001b[1;32m 19\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 20\u001b[0m now \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mnow()\n\u001b[1;32m 21\u001b[0m date_time \u001b[38;5;241m=\u001b[39m now\u001b[38;5;241m.\u001b[39mstrftime(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mm\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m_\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mH\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mM\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mS\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:403\u001b[0m, in \u001b[0;36mop..op_deco..create_wrapper..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 402\u001b[0m call \u001b[38;5;241m=\u001b[39m _create_call(wrapper, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m--> 403\u001b[0m res, _ \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mwrapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m 404\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:250\u001b[0m, in \u001b[0;36m_execute_call\u001b[0;34m(__op, call, __should_raise, *args, **kwargs)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _call_async()\n\u001b[1;32m 249\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 250\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 252\u001b[0m handle_exception(e)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dspy/teleprompt/mipro_optimizer.py:359\u001b[0m, in \u001b[0;36mMIPRO.compile\u001b[0;34m(self, student, trainset, num_trials, max_bootstrapped_demos, max_labeled_demos, eval_kwargs, seed, view_data, view_examples, requires_permission_to_run)\u001b[0m\n\u001b[1;32m 357\u001b[0m rng\u001b[38;5;241m.\u001b[39mshuffle(shuffled_trainset) \u001b[38;5;66;03m# Shuffle the copy\u001b[39;00m\n\u001b[1;32m 358\u001b[0m tp \u001b[38;5;241m=\u001b[39m BootstrapFewShot(metric \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmetric, max_bootstrapped_demos\u001b[38;5;241m=\u001b[39mmax_bootstrapped_demos_for_candidate_gen, max_labeled_demos\u001b[38;5;241m=\u001b[39mmax_labeled_demos_for_candidate_gen, teacher_settings\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mteacher_settings)\n\u001b[0;32m--> 359\u001b[0m candidate_program \u001b[38;5;241m=\u001b[39m \u001b[43mtp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstudent\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodule\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdeepcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtrainset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mshuffled_trainset\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 361\u001b[0m \u001b[38;5;66;03m# Store the candidate demos\u001b[39;00m\n\u001b[1;32m 362\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m module_p, candidate_p \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(module\u001b[38;5;241m.\u001b[39mpredictors(), candidate_program\u001b[38;5;241m.\u001b[39mpredictors()):\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:403\u001b[0m, in \u001b[0;36mop..op_deco..create_wrapper..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 402\u001b[0m call \u001b[38;5;241m=\u001b[39m _create_call(wrapper, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m--> 403\u001b[0m res, _ \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mwrapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m 404\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:250\u001b[0m, in \u001b[0;36m_execute_call\u001b[0;34m(__op, call, __should_raise, *args, **kwargs)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _call_async()\n\u001b[1;32m 249\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 250\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 252\u001b[0m handle_exception(e)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dspy/teleprompt/bootstrap.py:52\u001b[0m, in \u001b[0;36mBootstrapFewShot.compile\u001b[0;34m(self, student, teacher, trainset, valset)\u001b[0m\n\u001b[1;32m 50\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_prepare_student_and_teacher(student, teacher)\n\u001b[1;32m 51\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_prepare_predictor_mappings()\n\u001b[0;32m---> 52\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bootstrap\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 54\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstudent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_train()\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstudent\u001b[38;5;241m.\u001b[39m_compiled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dspy/teleprompt/bootstrap.py:109\u001b[0m, in \u001b[0;36mBootstrapFewShot._bootstrap\u001b[0;34m(self, max_bootstraps)\u001b[0m\n\u001b[1;32m 106\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m 108\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m example_idx \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m bootstrapped:\n\u001b[0;32m--> 109\u001b[0m success \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_bootstrap_one_example\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexample\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mround_idx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m success:\n\u001b[1;32m 112\u001b[0m bootstrapped[example_idx] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dspy/teleprompt/bootstrap.py:143\u001b[0m, in \u001b[0;36mBootstrapFewShot._bootstrap_one_example\u001b[0;34m(self, example, round_idx)\u001b[0m\n\u001b[1;32m 140\u001b[0m predictor_cache[name] \u001b[38;5;241m=\u001b[39m predictor\u001b[38;5;241m.\u001b[39mdemos\n\u001b[1;32m 141\u001b[0m predictor\u001b[38;5;241m.\u001b[39mdemos \u001b[38;5;241m=\u001b[39m [x \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m predictor\u001b[38;5;241m.\u001b[39mdemos \u001b[38;5;28;01mif\u001b[39;00m x \u001b[38;5;241m!=\u001b[39m example]\n\u001b[0;32m--> 143\u001b[0m prediction \u001b[38;5;241m=\u001b[39m \u001b[43mteacher\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mexample\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minputs\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 144\u001b[0m trace \u001b[38;5;241m=\u001b[39m dsp\u001b[38;5;241m.\u001b[39msettings\u001b[38;5;241m.\u001b[39mtrace\n\u001b[1;32m 146\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name, predictor \u001b[38;5;129;01min\u001b[39;00m teacher\u001b[38;5;241m.\u001b[39mnamed_predictors():\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:403\u001b[0m, in \u001b[0;36mop..op_deco..create_wrapper..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 402\u001b[0m call \u001b[38;5;241m=\u001b[39m _create_call(wrapper, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m--> 403\u001b[0m res, _ \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mwrapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m 404\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:250\u001b[0m, in \u001b[0;36m_execute_call\u001b[0;34m(__op, call, __should_raise, *args, **kwargs)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _call_async()\n\u001b[1;32m 249\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 250\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 252\u001b[0m handle_exception(e)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dspy/primitives/program.py:26\u001b[0m, in \u001b[0;36mModule.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 25\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforward\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[24], line 7\u001b[0m, in \u001b[0;36mSimpleGenerateSolution.forward\u001b[0;34m(self, problem_statement, sample_input, sample_output)\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, problem_statement, sample_input, sample_output):\n\u001b[0;32m----> 7\u001b[0m solution \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate_code\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mproblem_statement\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mproblem_statement\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43msample_input\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msample_input\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43msample_output\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msample_output\u001b[49m\n\u001b[1;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39msolution\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m dspy\u001b[38;5;241m.\u001b[39mPrediction(solution\u001b[38;5;241m=\u001b[39msolution)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:403\u001b[0m, in \u001b[0;36mop..op_deco..create_wrapper..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 402\u001b[0m call \u001b[38;5;241m=\u001b[39m _create_call(wrapper, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m--> 403\u001b[0m res, _ \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mwrapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m 404\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:250\u001b[0m, in \u001b[0;36m_execute_call\u001b[0;34m(__op, call, __should_raise, *args, **kwargs)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _call_async()\n\u001b[1;32m 249\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 250\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 252\u001b[0m handle_exception(e)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dspy/predict/predict.py:49\u001b[0m, in \u001b[0;36mPredict.__call__\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 48\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 49\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforward\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dspy/predict/chain_of_thought.py:59\u001b[0m, in \u001b[0;36mChainOfThought.forward\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 57\u001b[0m signature \u001b[38;5;241m=\u001b[39m new_signature\n\u001b[1;32m 58\u001b[0m \u001b[38;5;66;03m# template = dsp.Template(self.signature.instructions, **new_signature)\u001b[39;00m\n\u001b[0;32m---> 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforward\u001b[49m\u001b[43m(\u001b[49m\u001b[43msignature\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msignature\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:403\u001b[0m, in \u001b[0;36mop..op_deco..create_wrapper..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 402\u001b[0m call \u001b[38;5;241m=\u001b[39m _create_call(wrapper, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m--> 403\u001b[0m res, _ \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mwrapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcall\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m 404\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:250\u001b[0m, in \u001b[0;36m_execute_call\u001b[0;34m(__op, call, __should_raise, *args, **kwargs)\u001b[0m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _call_async()\n\u001b[1;32m 249\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 250\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 252\u001b[0m handle_exception(e)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dspy/predict/predict.py:91\u001b[0m, in \u001b[0;36mPredict.forward\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 88\u001b[0m template \u001b[38;5;241m=\u001b[39m signature_to_template(signature)\n\u001b[1;32m 90\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 91\u001b[0m x, C \u001b[38;5;241m=\u001b[39m \u001b[43mdsp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtemplate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mconfig\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstage\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstage\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 92\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 93\u001b[0m \u001b[38;5;66;03m# Note: query_only=True means the instructions and examples are not included.\u001b[39;00m\n\u001b[1;32m 94\u001b[0m \u001b[38;5;66;03m# I'm not really sure why we'd want to do that, but it's there.\u001b[39;00m\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m dsp\u001b[38;5;241m.\u001b[39msettings\u001b[38;5;241m.\u001b[39mcontext(lm\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlm, query_only\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dsp/primitives/predict.py:77\u001b[0m, in \u001b[0;36m_generate..do_generate\u001b[0;34m(example, stage, max_depth, original_example)\u001b[0m\n\u001b[1;32m 75\u001b[0m \u001b[38;5;66;03m# Generate and extract the fields.\u001b[39;00m\n\u001b[1;32m 76\u001b[0m prompt \u001b[38;5;241m=\u001b[39m template(example)\n\u001b[0;32m---> 77\u001b[0m completions: \u001b[38;5;28mlist\u001b[39m[\u001b[38;5;28mdict\u001b[39m[\u001b[38;5;28mstr\u001b[39m, Any]] \u001b[38;5;241m=\u001b[39m \u001b[43mgenerator\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprompt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 78\u001b[0m completions: \u001b[38;5;28mlist\u001b[39m[Example] \u001b[38;5;241m=\u001b[39m [template\u001b[38;5;241m.\u001b[39mextract(example, p) \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m completions]\n\u001b[1;32m 80\u001b[0m \u001b[38;5;66;03m# Find the completions that are most complete.\u001b[39;00m\n", + "Cell \u001b[0;32mIn[6], line 50\u001b[0m, in \u001b[0;36mMistralLM.__call__\u001b[0;34m(self, prompt, only_completed, return_sorted, **kwargs)\u001b[0m\n\u001b[1;32m 49\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, prompt, only_completed\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, return_sorted\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 50\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprompt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 51\u001b[0m completions \u001b[38;5;241m=\u001b[39m [response\u001b[38;5;241m.\u001b[39mchoices[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mmessage\u001b[38;5;241m.\u001b[39mcontent] \n\u001b[1;32m 52\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m completions\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/dsp/modules/lm.py:26\u001b[0m, in \u001b[0;36mLM.request\u001b[0;34m(self, prompt, **kwargs)\u001b[0m\n\u001b[1;32m 25\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrequest\u001b[39m(\u001b[38;5;28mself\u001b[39m, prompt, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbasic_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprompt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[6], line 32\u001b[0m, in \u001b[0;36mMistralLM.basic_request\u001b[0;34m(self, prompt, **kwargs)\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m n \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m n \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtemperature\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0.0\u001b[39m:\n\u001b[1;32m 30\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtemperature\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.7\u001b[39m\n\u001b[0;32m---> 32\u001b[0m chat_response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcomplete\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 33\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 34\u001b[0m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\n\u001b[1;32m 35\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mrole\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m 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chat_response.choices[0].message.content},\u001b[39;00m\n\u001b[1;32m 44\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mkwargs\u001b[39m\u001b[38;5;124m\"\u001b[39m: kwargs,\n\u001b[1;32m 45\u001b[0m })\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/weave/trace/op.py:403\u001b[0m, in \u001b[0;36mop..op_deco..create_wrapper..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 402\u001b[0m call \u001b[38;5;241m=\u001b[39m _create_call(wrapper, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m--> 403\u001b[0m res, _ \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mwrapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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utils\u001b[38;5;241m.\u001b[39mmatch_status_codes(error_status_codes, http_res\u001b[38;5;241m.\u001b[39mstatus_code):\n\u001b[1;32m 176\u001b[0m http_res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msdk_configuration\u001b[38;5;241m.\u001b[39mget_hooks()\u001b[38;5;241m.\u001b[39mafter_success(\n\u001b[1;32m 177\u001b[0m AfterSuccessContext(hook_ctx), http_res\n\u001b[1;32m 178\u001b[0m )\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/mistralai/basesdk.py:134\u001b[0m, in \u001b[0;36mBaseSDK.do_request..do\u001b[0;34m()\u001b[0m\n\u001b[1;32m 124\u001b[0m req \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msdk_configuration\u001b[38;5;241m.\u001b[39mget_hooks()\u001b[38;5;241m.\u001b[39mbefore_request(\n\u001b[1;32m 125\u001b[0m BeforeRequestContext(hook_ctx), request\n\u001b[1;32m 126\u001b[0m )\n\u001b[1;32m 127\u001b[0m logger\u001b[38;5;241m.\u001b[39mdebug(\n\u001b[1;32m 128\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRequest:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mMethod: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mURL: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mHeaders: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mBody: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 129\u001b[0m req\u001b[38;5;241m.\u001b[39mmethod,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 132\u001b[0m get_body_content(req)\n\u001b[1;32m 133\u001b[0m )\n\u001b[0;32m--> 134\u001b[0m http_res \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreq\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 136\u001b[0m _, e \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msdk_configuration\u001b[38;5;241m.\u001b[39mget_hooks()\u001b[38;5;241m.\u001b[39mafter_error(\n\u001b[1;32m 137\u001b[0m AfterErrorContext(hook_ctx), \u001b[38;5;28;01mNone\u001b[39;00m, e\n\u001b[1;32m 138\u001b[0m )\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpx/_client.py:926\u001b[0m, in \u001b[0;36mClient.send\u001b[0;34m(self, request, stream, auth, follow_redirects)\u001b[0m\n\u001b[1;32m 922\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_timeout(request)\n\u001b[1;32m 924\u001b[0m auth \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_build_request_auth(request, auth)\n\u001b[0;32m--> 926\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_handling_auth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 927\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 928\u001b[0m \u001b[43m \u001b[49m\u001b[43mauth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 929\u001b[0m \u001b[43m \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 930\u001b[0m \u001b[43m \u001b[49m\u001b[43mhistory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 931\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 932\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 933\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m stream:\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpx/_client.py:954\u001b[0m, in \u001b[0;36mClient._send_handling_auth\u001b[0;34m(self, request, auth, follow_redirects, history)\u001b[0m\n\u001b[1;32m 951\u001b[0m request \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mnext\u001b[39m(auth_flow)\n\u001b[1;32m 953\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 954\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_handling_redirects\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 955\u001b[0m \u001b[43m \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 956\u001b[0m \u001b[43m \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 957\u001b[0m \u001b[43m \u001b[49m\u001b[43mhistory\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhistory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 958\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 959\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 960\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpx/_client.py:991\u001b[0m, in \u001b[0;36mClient._send_handling_redirects\u001b[0;34m(self, request, follow_redirects, history)\u001b[0m\n\u001b[1;32m 988\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_event_hooks[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrequest\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n\u001b[1;32m 989\u001b[0m hook(request)\n\u001b[0;32m--> 991\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_send_single_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 992\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 993\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_event_hooks[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mresponse\u001b[39m\u001b[38;5;124m\"\u001b[39m]:\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpx/_client.py:1027\u001b[0m, in \u001b[0;36mClient._send_single_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 1022\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m 1023\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAttempted to send an async request with a sync Client instance.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1024\u001b[0m )\n\u001b[1;32m 1026\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request\u001b[38;5;241m=\u001b[39mrequest):\n\u001b[0;32m-> 1027\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mtransport\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1029\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response\u001b[38;5;241m.\u001b[39mstream, SyncByteStream)\n\u001b[1;32m 1031\u001b[0m response\u001b[38;5;241m.\u001b[39mrequest \u001b[38;5;241m=\u001b[39m request\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpx/_transports/default.py:236\u001b[0m, in \u001b[0;36mHTTPTransport.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 223\u001b[0m req \u001b[38;5;241m=\u001b[39m httpcore\u001b[38;5;241m.\u001b[39mRequest(\n\u001b[1;32m 224\u001b[0m method\u001b[38;5;241m=\u001b[39mrequest\u001b[38;5;241m.\u001b[39mmethod,\n\u001b[1;32m 225\u001b[0m url\u001b[38;5;241m=\u001b[39mhttpcore\u001b[38;5;241m.\u001b[39mURL(\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 233\u001b[0m extensions\u001b[38;5;241m=\u001b[39mrequest\u001b[38;5;241m.\u001b[39mextensions,\n\u001b[1;32m 234\u001b[0m )\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[0;32m--> 236\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_pool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 238\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(resp\u001b[38;5;241m.\u001b[39mstream, typing\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 240\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m Response(\n\u001b[1;32m 241\u001b[0m status_code\u001b[38;5;241m=\u001b[39mresp\u001b[38;5;241m.\u001b[39mstatus,\n\u001b[1;32m 242\u001b[0m headers\u001b[38;5;241m=\u001b[39mresp\u001b[38;5;241m.\u001b[39mheaders,\n\u001b[1;32m 243\u001b[0m stream\u001b[38;5;241m=\u001b[39mResponseStream(resp\u001b[38;5;241m.\u001b[39mstream),\n\u001b[1;32m 244\u001b[0m extensions\u001b[38;5;241m=\u001b[39mresp\u001b[38;5;241m.\u001b[39mextensions,\n\u001b[1;32m 245\u001b[0m )\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpcore/_sync/connection_pool.py:216\u001b[0m, in \u001b[0;36mConnectionPool.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 213\u001b[0m closing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_assign_requests_to_connections()\n\u001b[1;32m 215\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_close_connections(closing)\n\u001b[0;32m--> 216\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;66;03m# Return the response. Note that in this case we still have to manage\u001b[39;00m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;66;03m# the point at which the response is closed.\u001b[39;00m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response\u001b[38;5;241m.\u001b[39mstream, Iterable)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpcore/_sync/connection_pool.py:196\u001b[0m, in \u001b[0;36mConnectionPool.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 192\u001b[0m connection \u001b[38;5;241m=\u001b[39m pool_request\u001b[38;5;241m.\u001b[39mwait_for_connection(timeout\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m 194\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 195\u001b[0m \u001b[38;5;66;03m# Send the request on the assigned connection.\u001b[39;00m\n\u001b[0;32m--> 196\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mconnection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 197\u001b[0m \u001b[43m \u001b[49m\u001b[43mpool_request\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\n\u001b[1;32m 198\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ConnectionNotAvailable:\n\u001b[1;32m 200\u001b[0m \u001b[38;5;66;03m# In some cases a connection may initially be available to\u001b[39;00m\n\u001b[1;32m 201\u001b[0m \u001b[38;5;66;03m# handle a request, but then become unavailable.\u001b[39;00m\n\u001b[1;32m 202\u001b[0m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[1;32m 203\u001b[0m \u001b[38;5;66;03m# In this case we clear the connection and try again.\u001b[39;00m\n\u001b[1;32m 204\u001b[0m pool_request\u001b[38;5;241m.\u001b[39mclear_connection()\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpcore/_sync/connection.py:101\u001b[0m, in \u001b[0;36mHTTPConnection.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connect_failed \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 99\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[0;32m--> 101\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_connection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpcore/_sync/http11.py:143\u001b[0m, in \u001b[0;36mHTTP11Connection.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 141\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mresponse_closed\u001b[39m\u001b[38;5;124m\"\u001b[39m, logger, request) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[1;32m 142\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_response_closed()\n\u001b[0;32m--> 143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpcore/_sync/http11.py:113\u001b[0m, in \u001b[0;36mHTTP11Connection.handle_request\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\n\u001b[1;32m 105\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreceive_response_headers\u001b[39m\u001b[38;5;124m\"\u001b[39m, logger, request, kwargs\n\u001b[1;32m 106\u001b[0m ) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[1;32m 107\u001b[0m (\n\u001b[1;32m 108\u001b[0m http_version,\n\u001b[1;32m 109\u001b[0m status,\n\u001b[1;32m 110\u001b[0m reason_phrase,\n\u001b[1;32m 111\u001b[0m headers,\n\u001b[1;32m 112\u001b[0m trailing_data,\n\u001b[0;32m--> 113\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_receive_response_headers\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 114\u001b[0m trace\u001b[38;5;241m.\u001b[39mreturn_value \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 115\u001b[0m http_version,\n\u001b[1;32m 116\u001b[0m status,\n\u001b[1;32m 117\u001b[0m reason_phrase,\n\u001b[1;32m 118\u001b[0m headers,\n\u001b[1;32m 119\u001b[0m )\n\u001b[1;32m 121\u001b[0m network_stream \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_network_stream\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpcore/_sync/http11.py:186\u001b[0m, in \u001b[0;36mHTTP11Connection._receive_response_headers\u001b[0;34m(self, request)\u001b[0m\n\u001b[1;32m 183\u001b[0m timeout \u001b[38;5;241m=\u001b[39m timeouts\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mread\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m 185\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 186\u001b[0m event \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_receive_event\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 187\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(event, h11\u001b[38;5;241m.\u001b[39mResponse):\n\u001b[1;32m 188\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpcore/_sync/http11.py:224\u001b[0m, in \u001b[0;36mHTTP11Connection._receive_event\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 221\u001b[0m event \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_h11_state\u001b[38;5;241m.\u001b[39mnext_event()\n\u001b[1;32m 223\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m event \u001b[38;5;129;01mis\u001b[39;00m h11\u001b[38;5;241m.\u001b[39mNEED_DATA:\n\u001b[0;32m--> 224\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_network_stream\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 225\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mREAD_NUM_BYTES\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\n\u001b[1;32m 226\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 228\u001b[0m \u001b[38;5;66;03m# If we feed this case through h11 we'll raise an exception like:\u001b[39;00m\n\u001b[1;32m 229\u001b[0m \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[1;32m 230\u001b[0m \u001b[38;5;66;03m# httpcore.RemoteProtocolError: can't handle event type\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;66;03m# perspective. Instead we handle this case distinctly and treat\u001b[39;00m\n\u001b[1;32m 235\u001b[0m \u001b[38;5;66;03m# it as a ConnectError.\u001b[39;00m\n\u001b[1;32m 236\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;241m==\u001b[39m \u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_h11_state\u001b[38;5;241m.\u001b[39mtheir_state \u001b[38;5;241m==\u001b[39m h11\u001b[38;5;241m.\u001b[39mSEND_RESPONSE:\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/site-packages/httpcore/_backends/sync.py:126\u001b[0m, in \u001b[0;36mSyncStream.read\u001b[0;34m(self, max_bytes, timeout)\u001b[0m\n\u001b[1;32m 124\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m map_exceptions(exc_map):\n\u001b[1;32m 125\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sock\u001b[38;5;241m.\u001b[39msettimeout(timeout)\n\u001b[0;32m--> 126\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrecv\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmax_bytes\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/ssl.py:1295\u001b[0m, in \u001b[0;36mSSLSocket.recv\u001b[0;34m(self, buflen, flags)\u001b[0m\n\u001b[1;32m 1291\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m flags \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 1292\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 1293\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnon-zero flags not allowed in calls to recv() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m 1294\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m)\n\u001b[0;32m-> 1295\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbuflen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1296\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1297\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39mrecv(buflen, flags)\n", + "File \u001b[0;32m~/miniforge3/envs/weave/lib/python3.11/ssl.py:1168\u001b[0m, in \u001b[0;36mSSLSocket.read\u001b[0;34m(self, len, buffer)\u001b[0m\n\u001b[1;32m 1166\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sslobj\u001b[38;5;241m.\u001b[39mread(\u001b[38;5;28mlen\u001b[39m, buffer)\n\u001b[1;32m 1167\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1168\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sslobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1169\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m SSLError \u001b[38;5;28;01mas\u001b[39;00m x:\n\u001b[1;32m 1170\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m x\u001b[38;5;241m.\u001b[39margs[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m SSL_ERROR_EOF \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msuppress_ragged_eofs:\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "def optimize_with_mipro(program, prompt_model, task_model, metric, trainset):\n", + " teleprompter = MIPRO(\n", + " prompt_model=prompt_model,\n", + " task_model=task_model,\n", + " metric=metric,\n", + " num_candidates=2,\n", + " init_temperature=0.5,\n", + " verbose=False,\n", + " )\n", + "\n", + " optimized_program = teleprompter.compile(\n", + " program.deepcopy(),\n", + " num_trials=10,\n", + " trainset=trainset,\n", + " eval_kwargs=dict(num_threads=8),\n", + " max_bootstrapped_demos=0, # 0-shot optimization\n", + " max_labeled_demos=0,\n", + " seed=9\n", + " )\n", + " now = datetime.now()\n", + " date_time = now.strftime(\"%Y%m%d_%H%M%S\")\n", + "\n", + " optimized_program.save(f\"mipro_optimized_{date_time}\")\n", + "\n", + " return optimized_program\n", + "\n", + "\n", + "mipro_optimized_program = optimize_with_mipro(simple_program, mistral, mistral, f1, trainset[0:5])" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "DEBUG:openai._base_client:Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'json_data': {'messages': [{'role': 'user', 'content': 'You are a highly skilled algorithmic problem solver tasked with providing a comprehensive and detailed explanation for a competitive programming challenge. Begin by carefully analyzing the problem statement, paying close attention to constraints, input and output formats. Identify critical elements and analyze the provided sample inputs and outputs, while also considering edge cases that may arise. Look for underlying patterns or mathematical relationships that can guide your approach. Break down the problem into smaller, manageable subproblems if necessary, and articulate the core insights in straightforward terms. Provide a step-by-step explanation of your reasoning and proposed solution, using clear language and, if beneficial, visual aids to enhance understanding. Discuss potential optimization techniques, alternative methods, and any special cases that may be relevant. Address both time and space complexity in your explanation, and include pseudocode where appropriate to illustrate your thought process. Finally, ensure that your solution is well-organized and accessible to readers of varying programming expertise, focusing on clarity and completeness. Remember, you are not required to write actual code; your goal is to create a thorough and understandable solution explanation that an experienced developer can use to implement the code.\\n\\n---\\n\\nFollow the following format.\\n\\nProblem Statement: ${problem_statement}\\n\\nSample Input: The sample input provided with the problem statement.\\n\\nSample Output: The sample output provided with the problem statement.\\n\\nReasoning: Let\\'s think step by step in order to ${produce the output fields}. We ...\\n\\nSolution: a solution explanation for how we should go about solving this problem.\\n\\n---\\n\\nProblem Statement:\\nIshiko is opening a bracelet shop. Each bracelet she plans to sell is expressed as a ring of \\\\(N\\\\) colored beads, with exactly \\\\(K\\\\) green beads made of emerald, and \\\\(N-K\\\\) remaining beads of all unique colors (neither green nor the same as any other bead in the bracelet). Ishiko has an infinite number of beads available for each of these \\\\(N - K + 1\\\\) different colors.\\n\\nIshiko wants to exhibit *one copy of every possible distinct bracelet*. Two bracelets are considered distinct if one is not a cyclic rotation of the other. For instance, the two bracelets on the left are distinct, but the two bracelets on the right are not:\\n\\n{{PHOTO_ID:876374553707415|WIDTH:700}}\\n\\nA vendor takes orders for triangular display cases of arbitrary positive integer heights. A case of height \\\\(H\\\\) has \\\\(H\\\\) rows, where the \\\\(i\\\\)th row has \\\\(2*i - 1\\\\) slots, each slot capable of holding one bracelet. For example, a case of height \\\\(3\\\\) is shown below and holds \\\\(1 + 3 + 5 = 9\\\\) bracelets:\\n\\n{{PHOTO_ID:547949757342773|WIDTH:700}}\\n\\nHow many display cases (of possibly differing heights) will Ishiko need to buy to exhibit one copy of every possible bracelet *without leaving any empty slots in the display cases*?\\n\\n\\n# Constraints\\n\\n\\\\(1 \\\\le T \\\\le 110\\\\)\\n\\\\(1 \\\\le N \\\\le 10^9\\\\)\\n\\\\(0 \\\\le K \\\\le N\\\\)\\n\\nThe sum of \\\\(N\\\\) across all test cases is at most \\\\(8{,}000{,}000{,}000\\\\).\\n\\n\\n# Input Format\\n\\nInput begins with an integer \\\\(T\\\\), the number of cases. For each case, there is a line containing two space-separated integers, \\\\(N\\\\) and \\\\(K\\\\).\\n\\n\\n# Output Format\\n\\nFor the \\\\(i\\\\)th case, print `\"Case #i: \"` followed by a single integer, the minimum number of display cases that Ishiko needs to purchase to exhibit one copy of each bracelet.\\n\\n\\n# Sample Explanation\\n\\nIn the first sample case, let\\'s say that Ishiko\\'s beads are green, blue, and red. There are \\\\(4\\\\) possible bracelets for \\\\(N = 5\\\\) beads with \\\\(K = 3\\\\) green beads, \\\\(1\\\\) red bead, and \\\\(1\\\\) blue bead (up to rotation):\\n\\n{{PHOTO_ID:1327255974690671|WIDTH:700}}\\n\\nIshiko can use a single display case of height \\\\(2\\\\) to display these \\\\(4\\\\) bracelets.\\n\\nIn the second sample case, let\\'s say that Ishiko\\'s beads are green, blue, red, and yellow. There are \\\\(20\\\\) possible bracelets for \\\\(N = 6\\\\) beads with \\\\(K = 3\\\\) green beads, \\\\(1\\\\) blue bead, \\\\(1\\\\) red bead, and \\\\(1\\\\) yellow bead. Some examples are:\\n\\n{{PHOTO_ID:853886435922998|WIDTH:700}}\\n\\nIshiko can display these bracelets if she purchases a case of height \\\\(2\\\\) and a case of height \\\\(4\\\\).\\n\\nIn the third sample case, there are \\\\(60\\\\) possible bracelets and Ishiko needs at least \\\\(4\\\\) display cases to display all of them. One possibility is that she buys two cases of height \\\\(1\\\\), one case of height \\\\(3\\\\), and one case of height \\\\(7\\\\).\\n\\n\\nSample Input:\\n4\\n5 3\\n6 3\\n6 2\\n243447 42273\\n\\n\\nSample Output:\\nCase #1: 1\\nCase #2: 2\\nCase #3: 4\\nCase #4: 4\\n\\nPlease provide the output fields Reasoning then Solution. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with the field Reasoning.'}], 'model': 'gpt-4o-mini', 'frequency_penalty': 0, 'max_tokens': 4000, 'n': 1, 'presence_penalty': 0, 'stop': ['\\n---'], 'temperature': 0.1, 'top_p': 1}}\n", + "DEBUG:openai._base_client:Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'json_data': {'messages': [{'role': 'user', 'content': 'You are a highly skilled algorithmic problem solver tasked with providing a comprehensive and detailed explanation for a competitive programming challenge. Begin by carefully analyzing the problem statement, paying close attention to constraints, input and output formats. Identify critical elements and analyze the provided sample inputs and outputs, while also considering edge cases that may arise. Look for underlying patterns or mathematical relationships that can guide your approach. Break down the problem into smaller, manageable subproblems if necessary, and articulate the core insights in straightforward terms. Provide a step-by-step explanation of your reasoning and proposed solution, using clear language and, if beneficial, visual aids to enhance understanding. Discuss potential optimization techniques, alternative methods, and any special cases that may be relevant. Address both time and space complexity in your explanation, and include pseudocode where appropriate to illustrate your thought process. Finally, ensure that your solution is well-organized and accessible to readers of varying programming expertise, focusing on clarity and completeness. Remember, you are not required to write actual code; your goal is to create a thorough and understandable solution explanation that an experienced developer can use to implement the code.\\n\\n---\\n\\nFollow the following format.\\n\\nProblem Statement: ${problem_statement}\\n\\nSample Input: The sample input provided with the problem statement.\\n\\nSample Output: The sample output provided with the problem statement.\\n\\nReasoning: Let\\'s think step by step in order to ${produce the output fields}. We ...\\n\\nSolution: a solution explanation for how we should go about solving this problem.\\n\\n---\\n\\nProblem Statement:\\nCourtney has an avant-garde kitchen counter made out of \\\\(N\\\\) rectangular sheets of metal of equal height, standing perpendicular to the ground. When viewed directly from the top, the counter looks like an (unfilled) polygon on a plane with \\\\(N\\\\) edges, the \\\\(i\\\\)th of which extends from point \\\\((X_i, Y_i)\\\\) to point \\\\((X_{(i \\\\text{ mod } N)+1},\\\\, Y_{(i \\\\text{ mod } N)+1})\\\\). These line segments only intersect at their endpoints.\\n\\nCourtney\\'s friends often make fun of the counter, saying that the thin metal \"surface\" is useless for holding anything up, but Courtney wants to prove them wrong.\\n\\nCourtney considers placing a cup with a circular rim of radius \\\\(R\\\\) onto the counter (with the rim facing down), centered at a point chosen uniformly randomly from the square \\\\([0, L] \\\\times [0, L]\\\\). What is the chance that the cup stays balanced on the counter without falling? Your output will be accepted if it is within \\\\(10^{-6}\\\\) of the jury\\'s answer.\\n\\n*Note: The face-down cup is modeled as an unfilled ringβ€”not as a disk.*\\n\\n\\n# Constraints\\n\\n\\\\(1 \\\\le T \\\\le 7\\\\)\\n\\\\(1 \\\\le N \\\\le 7\\\\)\\n\\\\(1 \\\\le R, L \\\\le 15\\\\)\\n\\\\(0 \\\\le X_i, Y_i \\\\le 15\\\\)\\n\\n\\n# Input Format\\n\\nInput begins with a single integer \\\\(T\\\\), the number of test cases. For each test case, there is first a line containing three space-separated integers \\\\(N\\\\), \\\\(R\\\\), and \\\\(L\\\\). Then, \\\\(N\\\\) lines follow, the \\\\(i\\\\)th of which contains two space-separated integers \\\\(X_i\\\\) and \\\\(Y_i\\\\),\\n\\n\\n# Output Format\\n\\nFor the \\\\(i\\\\)th test case, print a line containing `\"Case #i: \"` followed by a single real number between \\\\(0\\\\) and \\\\(1\\\\), the chance that the cup will balance if placed with its rim centered at a uniformly random point in the square \\\\([0, L] \\\\times [0, L]\\\\).\\n\\n\\n# Sample Explanation\\n\\nThe counters in the first and second sample cases are depicted below, with the blue regions representing points at which centering the cup will lead to it staying balanced.\\n\\n{{PHOTO_ID:556593865835592|WIDTH:650}}\\n\\n\\n\\n\\nSample Input:\\n2\\n3 1 4\\n0 0\\n2 2\\n4 0\\n5 1 4\\n0 0\\n1 2\\n0 3\\n4 3\\n3 1\\n\\n\\nSample Output:\\nCase #1: 0.1169663730642699\\nCase #2: 0.1353445414060363\\n\\nPlease provide the output fields Reasoning then Solution. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with the field Reasoning.'}], 'model': 'gpt-4o-mini', 'frequency_penalty': 0, 'max_tokens': 4000, 'n': 1, 'presence_penalty': 0, 'stop': ['\\n---'], 'temperature': 0.1, 'top_p': 1}}\n", + "DEBUG:openai._base_client:Sending HTTP Request: POST https://api.openai.com/v1/chat/completions\n", + " 0%| | 0/6 [00:00 500{,}000\\\\) in at most two test cases.\\nThe sum of \\\\(N\\\\) over all test cases is at most \\\\(4{,}000{,}000\\\\).\\n\\n\\n# Input Format\\n\\nInput begins with an integer \\\\(T\\\\), the number of cases. For each case, there is first a line containing a single integer \\\\(N\\\\). Then, \\\\(N\\\\) lines follow, the \\\\(i\\\\)th of which contains two space-separated integers \\\\(X_i\\\\) and \\\\(Y_i\\\\).\\n\\n\\n# Output Format\\n\\nFor the \\\\(i\\\\)th case, print a line containing `\"Case #i: \"` followed by a single integer, the minimum total area of net needed to enclose all trees according to the above requirements.\\n\\n\\n# Sample Explanation\\n\\nSolutions for the first two sample cases are depicted below.\\n\\n{{PHOTO_ID:2468652649959145|WIDTH:700}}\\n\\nIn the first case, the minimum possible net area is \\\\(2*2 + 3*4 + 2*2 = 20\\\\).\\n\\nIn the second case, the minimum possible net area is \\\\(2*2 + 4*6 = 28\\\\).\\n\\nIn the third case, it\\'s almost possible to give each tree its own net. Unfortunately, there needs to be at least \\\\(1\\\\) unit of space between the nets at \\\\((2, 2)\\\\) so Boss Rob can walk through. This makes it indirectly necessary to use one big net to cover all trees. \\n\\n{{PHOTO_ID:504150738360453|WIDTH:700}}\\n\\n\\nSample Input:\\n3\\n4\\n0 0\\n2 1\\n5 0\\n0 6\\n5\\n10 10\\n12 10\\n8 10\\n5 10\\n8 8\\n4\\n1 1\\n3 3\\n0 4\\n4 6\\n\\n\\nSample Output:\\nCase #1: 20\\nCase #2: 28\\nCase #3: 42\\n\\nPlease provide the output fields Reasoning then Solution. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with the field Reasoning.'}], 'model': 'gpt-4o-mini', 'frequency_penalty': 0, 'max_tokens': 4000, 'n': 1, 'presence_penalty': 0, 'stop': ['\\n---'], 'temperature': 0.1, 'top_p': 1}}\n", + "DEBUG:openai._base_client:Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'json_data': {'messages': [{'role': 'user', 'content': 'You are a highly skilled algorithmic problem solver tasked with providing a comprehensive and detailed explanation for a competitive programming challenge. Begin by carefully analyzing the problem statement, paying close attention to constraints, input and output formats. Identify critical elements and analyze the provided sample inputs and outputs, while also considering edge cases that may arise. Look for underlying patterns or mathematical relationships that can guide your approach. Break down the problem into smaller, manageable subproblems if necessary, and articulate the core insights in straightforward terms. Provide a step-by-step explanation of your reasoning and proposed solution, using clear language and, if beneficial, visual aids to enhance understanding. Discuss potential optimization techniques, alternative methods, and any special cases that may be relevant. Address both time and space complexity in your explanation, and include pseudocode where appropriate to illustrate your thought process. Finally, ensure that your solution is well-organized and accessible to readers of varying programming expertise, focusing on clarity and completeness. Remember, you are not required to write actual code; your goal is to create a thorough and understandable solution explanation that an experienced developer can use to implement the code.\\n\\n---\\n\\nFollow the following format.\\n\\nProblem Statement: ${problem_statement}\\n\\nSample Input: The sample input provided with the problem statement.\\n\\nSample Output: The sample output provided with the problem statement.\\n\\nReasoning: Let\\'s think step by step in order to ${produce the output fields}. We ...\\n\\nSolution: a solution explanation for how we should go about solving this problem.\\n\\n---\\n\\nProblem Statement:\\nYou just landed a job as a machine learning engineer! As a ramp-up exercise, Boss Rob tasked you with modeling the watering wells in his yard, which can be represented on a Cartesian plane.\\n\\nBoss Rob has a primary well at point \\\\((A_x, A_y)\\\\) and a backup well at a different point \\\\((B_x, B_y)\\\\), each able to water trees within an \\\\(R\\\\) unit radius. Using \\\\(A_x\\\\), \\\\(A_y\\\\), \\\\(B_x\\\\), \\\\(B_y\\\\), and \\\\(R\\\\) (unknown integers to you), Rob plants \\\\(N\\\\) happy little trees at real number points obtained by \\\\(N\\\\) calls to the function:\\n\\n```\\ndef gen_one_tree(A_x, A_y, B_x, B_y, R):\\n while True:\\n r = random.uniform(0, R)\\n theta = random.uniform(0, 2*math.pi)\\n x = A_x + r*math.cos(theta)\\n y = A_y + r*math.sin(theta)\\n if (x - B_x)**2 + (y - B_y)**2 <= R*R:\\n return (x, y)\\n```\\nHere, `random.uniform(L, H)` returns a real number in \\\\([L, H)\\\\) uniformly at random.\\n\\nIn other words, he picks a point \\\\((x, y)\\\\) in the circular range of the primary well using the special method above. If \\\\((x, y)\\\\) happens to be in range of the backup well, he plants a tree there (else he discards it and tries again with a new \\\\((x, y)\\\\)). This repeats until Rob has planted \\\\(N\\\\) trees.\\n\\nGiven only the planted tree coordinates \\\\((X_1, Y_1), \\\\ldots, (X_N, Y_N)\\\\), you are tasked to predict the exact values of \\\\(A_x\\\\), \\\\(A_y\\\\), \\\\(B_x\\\\), \\\\(B_y\\\\), and \\\\(R\\\\). As you are new, Boss Rob will accept your solution if it correctly predicts at least \\\\(80\\\\%\\\\) of the test cases.\\n\\n\\n# Constraints\\n\\n\\\\(1 \\\\le T \\\\le 1{,}000\\\\)\\n\\\\(500 \\\\le N \\\\le 1{,}000{,}000\\\\)\\n\\\\(0 \\\\le A_x, A_y, B_x, B_y \\\\le 50\\\\)\\n\\\\((A_x, A_y) \\\\ne (B_x, B_y)\\\\)\\n\\\\(1 \\\\le R \\\\le 50\\\\)\\nThe sum of \\\\(N\\\\) across all test cases is at most \\\\(2{,}000{,}000\\\\).\\n\\nThe intersection area of the two circular regions is strictly positive.\\n\\nTree coordinates in the data were truly generated using the randomized algorithm as described above. The secret parameters \\\\(A_x\\\\), \\\\(A_y\\\\), \\\\(B_x\\\\), \\\\(B_y\\\\), and \\\\(R\\\\) have also been chosen uniformly at random for each case (rejecting cases where the circles are identical or do not have positive overlap).\\n\\n\\n# Input Format\\n\\nInput begins with a single integer \\\\(T\\\\), the number of test cases. For each case, there is first a line containing a single integer \\\\(N\\\\), the number of planted trees. Then, \\\\(N\\\\) lines follow, the \\\\(i\\\\)th of which contains two space-separated real numbers \\\\(X_i\\\\) and \\\\(Y_i\\\\), each given to \\\\(6\\\\) decimal places.\\n\\n\\n# Output Format\\n\\nFor the \\\\(i\\\\)th test case, print a line containing `\"Case #i: \"`, followed by the five space-separated integers \\\\(A_x\\\\), \\\\(A_y\\\\), \\\\(B_x\\\\), \\\\(B_y\\\\), and \\\\(R\\\\), in that order.\\n\\n\\n# Sample Explanation\\n\\nThe first sample case is pictured below, with the primary well\\'s range in red, the backup well\\'s range in blue, and the \\\\(500\\\\) randomly-generated trees in green:\\n\\n{{PHOTO_ID:6502772429739994|WIDTH:700}}\\n\\n\\n\\nSample Input:\\n2\\n500\\n18.243577 16.343618\\n24.560940 7.478552\\n13.664297 0.348593\\n19.766713 16.871980\\n14.052491 10.567715\\n21.426414 5.786941\\n20.495098 -0.246197\\n20.706538 14.324784\\n13.240629 9.591812\\n18.131521 1.645394\\n13.085966 5.206907\\n12.705525 2.340957\\n17.081302 -3.503313\\n17.406894 -4.132649\\n18.662161 14.841332\\n21.722473 13.853187\\n12.566132 7.860660\\n16.422074 12.005824\\n17.360418 15.791112\\n17.109026 7.669767\\n18.253835 6.466656\\n21.249345 1.667549\\n21.665745 0.311747\\n16.095203 14.907657\\n15.823431 -4.340649\\n14.764783 -3.979121\\n12.216653 2.449552\\n12.283698 8.764607\\n17.379537 14.086718\\n11.356151 4.039189\\n18.250737 10.348279\\n18.803695 -3.124892\\n17.208013 -1.383813\\n15.846419 7.176925\\n12.209281 2.863600\\n19.786703 12.537685\\n23.019766 11.553517\\n12.677512 3.801674\\n21.313409 10.926474\\n13.065841 -5.327402\\n23.974605 10.274300\\n14.052084 5.745476\\n12.344311 4.014428\\n13.824721 3.340018\\n21.333789 16.244543\\n22.993558 3.915954\\n21.482560 16.650764\\n21.423192 9.596803\\n17.471653 -2.073008\\n19.254667 10.037329\\n13.026102 2.910256\\n19.164159 15.152278\\n15.448711 5.268898\\n22.436500 6.103729\\n18.713233 -0.696114\\n17.319829 -4.614399\\n16.303121 6.662335\\n18.549615 9.323836\\n20.578796 13.197413\\n20.101191 10.285048\\n12.731656 6.398406\\n15.642672 12.203354\\n11.739751 -2.209279\\n19.999162 12.495027\\n13.332741 -0.781345\\n16.419368 4.930287\\n14.208240 6.146094\\n12.668535 3.884128\\n17.100494 9.477584\\n15.298066 2.105778\\n21.715575 3.461332\\n13.812862 -0.393683\\n15.197469 3.227296\\n17.805714 12.076443\\n14.894292 -2.076883\\n11.362856 0.971215\\n11.152936 -0.329086\\n24.312335 12.223521\\n23.850104 13.665174\\n13.611467 7.009552\\n22.958613 10.937624\\n17.476002 5.911470\\n13.385598 8.687516\\n15.245710 4.570724\\n17.698810 15.101508\\n14.683332 8.660956\\n17.830283 14.623531\\n11.844331 0.565127\\n22.538936 14.469856\\n14.570230 -2.940471\\n23.501721 7.793592\\n22.580591 6.388695\\n17.440296 5.839274\\n17.532098 6.355300\\n16.728496 6.375671\\n18.752338 6.307287\\n21.240144 10.501905\\n14.970281 7.859548\\n15.357577 -4.434922\\n16.310483 -1.394290\\n22.759885 9.828241\\n14.186619 5.960630\\n24.193644 14.368893\\n17.442571 12.499045\\n13.034105 -6.500657\\n17.697254 11.737589\\n13.480724 -3.930224\\n22.150737 17.126988\\n13.391916 -0.925885\\n23.572665 4.572828\\n15.420402 8.829672\\n16.683175 5.409393\\n20.887778 5.088725\\n13.519647 4.812447\\n17.129407 -1.925479\\n16.603673 3.593709\\n22.113753 16.325847\\n13.066364 2.073991\\n15.710264 8.778860\\n17.767049 8.993840\\n11.706371 -1.170487\\n11.470356 2.861039\\n17.231284 7.889578\\n24.189637 14.224167\\n19.075589 11.166930\\n20.937783 13.154556\\n23.523316 12.300135\\n14.445991 11.359735\\n19.239496 12.970156\\n21.742953 4.547351\\n12.910622 1.840402\\n21.075760 6.167560\\n13.244078 -2.969471\\n13.140408 -6.471153\\n20.315724 14.875012\\n23.818682 11.079752\\n17.887454 -2.232520\\n18.666566 0.092412\\n14.317916 -3.570190\\n15.472072 -2.829925\\n21.556983 0.279414\\n22.036423 1.708065\\n14.568483 0.688430\\n19.482935 8.690586\\n17.496132 11.691013\\n15.570701 5.436852\\n18.179237 -3.363174\\n14.980168 8.543218\\n14.915177 -0.184438\\n14.969153 0.104570\\n14.067303 7.651140\\n14.964894 0.975905\\n20.284008 6.167394\\n22.797939 6.211927\\n16.313922 14.186456\\n14.834579 12.685060\\n21.480677 2.065544\\n12.584922 3.150118\\n13.136840 0.802224\\n11.390730 -0.761440\\n17.002476 5.312136\\n20.846441 4.748559\\n17.902435 4.933033\\n14.915677 3.063146\\n14.466079 -3.505656\\n16.495423 -0.516658\\n15.123951 -1.633273\\n19.347161 16.123210\\n24.262812 13.836784\\n16.744183 13.521877\\n13.795204 4.941614\\n15.614470 12.670248\\n14.141935 9.959788\\n11.217067 4.675771\\n12.697649 -0.067208\\n19.514341 13.742676\\n16.637732 3.278594\\n21.107319 14.689994\\n17.380294 10.999330\\n20.672382 14.136265\\n11.533785 2.455757\\n21.634049 10.042583\\n19.865202 14.092486\\n22.647324 17.180916\\n13.916645 2.700255\\n21.097245 12.705439\\n14.797356 -2.723860\\n15.674174 -1.807078\\n21.891569 6.225470\\n18.340370 9.365718\\n17.377817 6.161102\\n15.117478 0.715163\\n18.782919 3.899382\\n13.107155 7.205792\\n18.844233 16.639468\\n18.316959 -1.084489\\n16.864189 6.381003\\n17.413163 -2.782152\\n18.155452 7.203062\\n22.653910 1.225094\\n15.276962 6.826973\\n19.467625 4.793109\\n21.273117 10.211036\\n13.053714 4.142984\\n11.594127 1.722787\\n17.187284 5.900224\\n20.751730 5.502650\\n19.298775 7.373680\\n20.090593 -1.788020\\n22.540876 13.519997\\n11.735849 2.496556\\n16.109133 14.156335\\n19.604004 11.711670\\n23.481796 4.654737\\n18.756305 8.135686\\n20.751269 0.800819\\n14.073437 7.240697\\n17.022144 7.532538\\n14.800061 10.052073\\n19.638047 3.327763\\n19.495916 9.221839\\n11.418687 -1.636822\\n16.627811 3.856185\\n22.189477 18.520143\\n19.746557 -1.725730\\n16.438720 10.266559\\n19.785090 6.069816\\n16.417114 13.062245\\n15.667475 9.619686\\n19.909511 5.066407\\n20.251697 17.418113\\n22.658481 18.376700\\n11.513801 1.356283\\n18.258572 2.014423\\n17.457905 7.408070\\n21.347081 10.562006\\n12.259695 0.465383\\n11.687451 2.106452\\n14.026429 -5.711334\\n15.410070 -4.322808\\n16.792314 0.508719\\n20.651046 7.219566\\n14.634011 10.399200\\n12.405734 -2.693974\\n14.716979 -3.275552\\n13.872859 -2.763565\\n22.064022 11.633544\\n15.729799 10.378849\\n19.310824 0.908302\\n11.290350 5.008839\\n17.987185 11.212424\\n18.933293 11.589430\\n24.225082 14.074144\\n14.280323 2.518275\\n23.126585 8.980823\\n15.261063 1.383509\\n22.828022 17.600195\\n12.454820 4.367434\\n18.535066 3.691446\\n20.314638 18.047548\\n23.145756 15.102703\\n13.296147 -6.688498\\n21.647239 1.718656\\n24.121364 15.219336\\n13.194050 8.691127\\n11.766890 5.884297\\n18.217592 14.226418\\n17.915127 2.176438\\n14.634272 -3.488542\\n20.234345 0.554279\\n17.188012 7.985024\\n17.346218 10.995344\\n18.669436 2.636653\\n18.951858 11.670444\\n13.285687 -1.499801\\n22.001488 14.067161\\n22.770735 7.750486\\n12.963328 5.944176\\n20.682994 15.335158\\n11.114365 0.432639\\n23.735128 15.517813\\n22.032538 6.398391\\n15.201702 -3.937585\\n18.687441 15.891635\\n14.161156 9.388260\\n13.996130 4.657658\\n22.323146 6.098112\\n20.934790 10.211547\\n16.590131 5.371991\\n20.039944 12.763506\\n14.652548 11.006175\\n19.154292 4.181016\\n17.199467 2.304127\\n14.206927 9.107424\\n19.143110 4.677616\\n21.210108 11.776738\\n22.448183 9.536389\\n24.468761 12.923552\\n19.753874 2.928480\\n15.879698 8.601265\\n21.579355 10.235260\\n12.337658 8.782207\\n16.823056 1.073752\\n23.213925 8.143511\\n18.283541 10.342998\\n21.109487 4.830167\\n20.576977 18.388817\\n17.305744 5.831552\\n15.129693 5.247627\\n16.948835 11.394945\\n11.708893 -1.237782\\n11.640301 0.735272\\n18.564261 7.765312\\n15.367225 12.715984\\n17.515852 13.448675\\n18.427577 -4.113174\\n16.063344 4.479923\\n19.850385 13.378851\\n17.990363 11.657032\\n17.696624 0.518123\\n20.326250 10.275394\\n16.374879 6.186846\\n12.339243 3.446059\\n19.054799 -1.407273\\n22.345393 0.656893\\n12.027935 -0.424062\\n23.649456 5.875965\\n16.363737 13.309612\\n15.567342 13.854572\\n19.403075 -2.105705\\n22.961203 12.299632\\n14.376183 7.683317\\n17.591174 13.661803\\n11.394050 0.175477\\n14.569772 4.742531\\n15.213890 2.957571\\n23.610500 15.936788\\n14.141149 1.670263\\n18.528925 11.541278\\n23.898984 9.211051\\n13.211419 10.291301\\n22.984657 14.996915\\n16.231052 -2.488522\\n20.056612 8.249936\\n11.894928 1.368478\\n24.280032 9.901244\\n13.543034 7.292310\\n21.466143 6.122634\\n17.050924 10.602068\\n14.559508 -2.832191\\n16.002019 14.311328\\n15.689925 -5.344107\\n18.137508 11.902096\\n21.828029 6.265151\\n12.626233 5.939640\\n19.495225 -2.888468\\n14.731963 5.949898\\n14.539116 3.761306\\n13.563525 5.118103\\n20.781815 4.269694\\n14.646917 3.059797\\n19.582913 9.167719\\n11.998265 6.262899\\n18.248830 15.023882\\n17.738511 -3.775898\\n20.613168 8.945199\\n11.812803 0.311242\\n24.163159 5.006179\\n21.371522 18.282868\\n14.865494 13.354208\\n18.606131 3.411418\\n20.882197 6.015836\\n21.219685 1.104721\\n17.830305 11.210971\\n19.458500 -0.184236\\n11.294817 1.942603\\n19.357381 11.114160\\n14.342764 -1.600163\\n13.078637 1.105681\\n16.311977 7.151695\\n18.727277 4.389283\\n20.787157 9.958316\\n20.703801 2.179316\\n16.405388 -0.443747\\n23.490212 13.183778\\n14.704340 6.400590\\n12.762951 9.163493\\n14.879646 8.827834\\n21.287460 14.149522\\n11.842059 2.628325\\n17.880290 15.006137\\n18.488039 13.571962\\n16.821542 1.475234\\n20.002707 7.186862\\n21.002156 3.685887\\n22.249825 5.127291\\n19.210100 2.009205\\n17.068320 14.565406\\n22.923564 9.027532\\n12.761185 6.521029\\n16.884040 -4.998579\\n11.380716 1.854268\\n21.946966 11.675032\\n14.934287 1.053398\\n15.176332 8.083325\\n22.785108 3.453335\\n13.580786 -2.436422\\n12.008668 -0.448807\\n22.285708 6.989855\\n11.515857 6.041525\\n15.121135 -4.946932\\n22.928785 3.446890\\n21.326448 1.359870\\n22.521962 12.562228\\n21.165139 8.573858\\n21.684998 17.690259\\n14.438082 5.794504\\n21.031054 9.259496\\n17.279543 -3.524403\\n19.916938 2.219192\\n16.274795 13.211478\\n22.838144 13.435671\\n21.410865 10.932324\\n13.968554 2.445044\\n17.281427 5.253919\\n11.785362 7.062835\\n19.891893 4.854905\\n22.357187 10.673764\\n20.926022 17.195318\\n12.342682 7.376183\\n17.739443 14.821393\\n13.242037 4.155476\\n13.216160 9.938764\\n15.535745 9.586368\\n11.720537 5.201965\\n18.051503 5.764098\\n14.760959 -1.865235\\n16.287678 13.346010\\n12.837573 -4.549325\\n18.912745 6.950515\\n21.757445 2.312409\\n17.617996 5.427429\\n18.643869 -1.983641\\n20.721220 4.218309\\n15.411880 2.817564\\n16.139809 -3.232530\\n23.725701 13.763255\\n16.011610 -4.548052\\n15.915922 -2.430327\\n11.575523 0.684496\\n15.099677 -4.363962\\n17.991955 8.201164\\n18.803073 2.670414\\n16.811572 12.341744\\n12.941817 -2.988387\\n22.065002 9.335321\\n14.385033 -2.828393\\n14.482881 4.155121\\n11.368385 3.728045\\n12.616389 5.472795\\n13.723615 1.901616\\n17.134331 4.595940\\n18.927768 4.830461\\n18.909544 -1.361066\\n11.543834 6.117217\\n18.542131 14.676562\\n17.502316 10.484115\\n20.258744 7.166175\\n14.160867 2.204443\\n14.790041 -6.095155\\n22.782137 8.059894\\n16.203873 12.718181\\n17.034161 7.989151\\n19.991610 8.234883\\n12.719392 5.517438\\n20.999982 17.261621\\n20.469714 2.621880\\n18.234895 15.202904\\n16.422493 -3.498837\\n16.596906 3.914879\\n14.752444 -0.821616\\n15.314792 11.415450\\n12.851978 9.336743\\n21.322624 13.745326\\n13.786509 8.308467\\n17.942216 12.143173\\n17.073233 6.949597\\n14.640306 6.576499\\n14.271760 -6.901011\\n22.238735 13.842624\\n14.931032 10.612377\\n19.888461 12.948929\\n23.220118 17.001903\\n20.177677 17.873523\\n15.306416 12.140175\\n12.881961 -1.375601\\n15.604397 6.135945\\n20.500871 16.129972\\n14.722210 2.613046\\n19.842808 8.445985\\n500\\n39.710957 45.266595\\n41.094057 48.798544\\n32.730857 56.546952\\n39.923442 50.088557\\n31.605212 50.959184\\n44.136309 48.892818\\n40.679879 53.937977\\n36.294096 47.800636\\n40.113173 50.213649\\n45.815416 49.890518\\n35.390036 51.205328\\n40.179830 56.875049\\n43.017164 50.051028\\n49.406105 49.928356\\n39.677790 50.945483\\n30.190194 51.691234\\n41.459104 50.089287\\n38.109223 49.793925\\n41.014266 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49.363977\\n40.922267 49.030949\\n49.333579 46.468735\\n45.022548 47.906167\\n43.637612 52.857929\\n47.268117 47.519882\\n41.272130 54.197584\\n34.082949 43.254136\\n38.036205 40.661918\\n42.655798 41.576628\\n29.807866 47.872254\\n28.601989 46.178377\\n45.411278 45.931233\\n32.453695 55.680718\\n40.016094 49.898548\\n31.326411 50.604130\\n42.541382 46.391883\\n28.142174 45.606911\\n42.148711 43.006960\\n31.308546 53.696334\\n45.323549 48.297625\\n41.814194 53.978169\\n46.899230 47.272690\\n38.927142 48.380082\\n40.496094 50.455800\\n29.517210 53.065575\\n39.362424 50.197373\\n41.328216 50.818224\\n45.522371 52.786934\\n37.901221 53.182777\\n33.441511 53.449409\\n41.329462 48.275714\\n36.578736 50.137690\\n29.935958 48.603522\\n39.120310 43.660767\\n36.182135 55.431890\\n39.146117 43.984569\\n40.997061 38.106491\\n35.989093 46.728348\\n37.448224 53.295281\\n40.814741 49.310066\\n31.784712 52.810431\\n48.970584 43.550682\\n40.665791 48.928635\\n37.455128 44.746699\\n46.152666 48.957633\\n30.336969 48.234010\\n32.695164 51.864903\\n31.589178 43.457383\\n46.147549 53.306138\\n31.999644 52.420644\\n37.882452 52.135957\\n40.844183 49.988777\\n36.467747 48.329731\\n40.117265 49.605837\\n39.689079 49.782545\\n38.403469 54.554917\\n40.421711 49.109454\\n35.043304 45.353460\\n37.700068 47.538726\\n48.128997 49.081839\\n42.460803 40.752714\\n37.235602 50.072579\\n45.674603 44.480303\\n37.349137 46.221747\\n44.085857 39.527531\\n39.451587 49.957036\\n34.806971 49.046043\\n35.529302 51.253406\\n40.190963 49.973052\\n39.633260 47.552746\\n35.453864 43.969233\\n34.274948 53.082556\\n39.463399 50.393113\\n37.957584 45.630232\\n37.322489 54.006826\\n44.606528 41.399097\\n39.411046 40.458141\\n31.338206 50.536917\\n31.136214 43.527204\\n45.798060 50.822431\\n34.871658 50.062171\\n35.844121 42.638803\\n34.872808 41.204881\\n43.755368 51.614795\\n38.982354 49.926225\\n40.469698 48.179031\\n35.913369 43.066653\\n42.528609 45.767257\\n48.618570 46.356773\\n27.872295 52.528578\\n41.715208 51.600960\\n41.181149 53.685790\\n39.303489 53.892835\\n39.293418 48.153534\\n41.756249 51.245006\\n31.774363 44.426609\\n34.861405 46.757609\\n40.802245 48.921425\\n43.937823 48.149107\\n39.046799 51.495534\\n44.164015 47.377663\\n33.810651 55.003684\\n34.927154 47.447552\\n34.035538 44.333249\\n37.871520 39.762833\\n40.666335 49.469386\\n36.616461 47.193929\\n30.155009 55.226397\\n38.487555 53.622646\\n40.997810 42.076416\\n45.945407 44.422717\\n41.899604 45.437848\\n35.851069 39.610831\\n35.506742 46.914798\\n44.438356 53.799029\\n39.989213 47.854211\\n40.688131 48.384774\\n34.652201 50.303544\\n33.755665 45.964317\\n40.030597 38.511805\\n40.496887 49.662393\\n38.227873 56.650526\\n42.024271 50.307892\\n40.098551 51.020802\\n37.124217 56.020006\\n45.573360 49.079709\\n38.113194 47.452914\\n41.032388 49.568862\\n40.468636 41.700309\\n37.471402 53.415458\\n41.048122 50.915859\\n34.495824 52.399788\\n36.448848 47.859274\\n39.011571 45.145133\\n40.775737 54.882725\\n29.285397 47.497443\\n39.026980 50.093095\\n47.015660 53.027474\\n34.763263 40.445794\\n36.897710 46.648874\\n40.241097 46.761277\\n48.060150 52.452125\\n40.306719 47.029494\\n42.084311 49.727923\\n35.976952 56.782986\\n47.126106 49.162825\\n37.897456 51.564894\\n36.654695 50.819627\\n40.781800 53.945677\\n41.842433 53.752172\\n41.589129 53.110102\\n32.761789 44.088345\\n41.719804 53.989094\\n36.944823 45.053298\\n42.827828 46.842898\\n41.016473 46.911213\\n38.918312 54.211936\\n37.981049 47.710730\\n39.890346 50.385934\\n44.764060 50.488667\\n40.308209 49.871190\\n38.160808 41.818470\\n47.957911 43.210035\\n43.687500 51.766336\\n41.918077 50.059497\\n31.679299 54.296609\\n45.771261 49.218397\\n38.123103 57.954250\\n36.124360 38.699324\\n32.968935 45.593800\\n36.560694 51.382055\\n34.735064 40.361008\\n32.251581 42.107719\\n44.199665 41.877420\\n41.143788 50.764761\\n33.338016 46.664050\\n49.922917 42.219510\\n50.478030 44.841695\\n39.976942 50.064551\\n34.875631 50.503983\\n47.770352 41.098315\\n38.284620 54.466581\\n46.593736 53.092283\\n39.045259 51.162862\\n39.613480 49.903060\\n29.546920 50.066181\\n41.943758 43.196521\\n37.059391 50.779753\\n39.992419 49.911640\\n47.980034 43.365287\\n34.320640 40.515435\\n42.231814 47.944971\\n43.508937 52.307746\\n39.973595 46.291718\\n44.220332 52.161464\\n41.159619 40.973367\\n47.101236 49.724113\\n39.782978 50.204596\\n39.559919 49.480320\\n36.835299 48.650068\\n37.883515 44.698028\\n44.397487 41.980311\\n34.290696 48.708611\\n36.936342 50.120652\\n41.121951 52.657115\\n43.518312 44.024548\\n39.437155 52.745160\\n39.835412 46.283453\\n40.310665 48.125508\\n45.963017 48.159980\\n38.177037 51.293065\\n45.889694 55.310913\\n42.049010 49.604768\\n28.899711 52.311737\\n37.241460 44.649299\\n33.318865 47.628176\\n40.966198 51.913582\\n40.366353 49.362066\\n29.296032 49.797302\\n43.173336 52.250949\\n47.690825 49.396015\\n33.643206 43.968056\\n30.131878 46.189694\\n33.388653 54.541037\\n32.137200 45.597199\\n39.122132 49.672227\\n41.584771 56.233178\\n36.580879 44.724607\\n39.466947 51.197577\\n37.561921 47.022670\\n42.761769 48.915168\\n39.787125 44.289218\\n45.484312 43.809723\\n41.811338 48.622222\\n37.213599 49.935951\\n39.942045 49.772859\\n49.891856 42.872467\\n31.964570 45.776619\\n40.171680 49.987490\\n37.038137 52.940678\\n35.265299 47.478347\\n44.996427 49.981928\\n39.734830 54.125940\\n40.304740 53.221447\\n38.560754 46.599124\\n39.647909 51.223265\\n36.609585 37.915030\\n34.542710 46.975530\\n40.441693 50.006388\\n34.944957 44.328503\\n47.217304 47.688772\\n38.580101 51.789895\\n41.506001 49.071389\\n42.049850 50.259588\\n34.832636 47.585776\\n42.867048 45.434276\\n\\n\\nSample Output:\\nCase #1: 6 10 30 2 19\\nCase #2: 40 50 38 45 13\\n\\nPlease provide the output fields Reasoning then Solution. Do so immediately, without additional content before or after, and precisely as the format above shows. Begin with the field Reasoning.'}], 'model': 'gpt-4o-mini', 'frequency_penalty': 0, 'max_tokens': 4000, 'n': 1, 'presence_penalty': 0, 'stop': ['\\n---'], 'temperature': 0.1, 'top_p': 1}}\n", + "DEBUG:openai._base_client:Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'json_data': {'messages': [{'role': 'user', 'content': 'You are a highly skilled algorithmic problem solver tasked with providing a comprehensive and detailed explanation for a competitive programming challenge. Begin by carefully analyzing the problem statement, paying close attention to constraints, input and output formats. Identify critical elements and analyze the provided sample inputs and outputs, while also considering edge cases that may arise. Look for underlying patterns or mathematical relationships that can guide your approach. Break down the problem into smaller, manageable subproblems if necessary, and articulate the core insights in straightforward terms. Provide a step-by-step explanation of your reasoning and proposed solution, using clear language and, if beneficial, visual aids to enhance understanding. Discuss potential optimization techniques, alternative methods, and any special cases that may be relevant. Address both time and space complexity in your explanation, and include pseudocode where appropriate to illustrate your thought process. Finally, ensure that your solution is well-organized and accessible to readers of varying programming expertise, focusing on clarity and completeness. Remember, you are not required to write actual code; your goal is to create a thorough and understandable solution explanation that an experienced developer can use to implement the code.\\n\\n---\\n\\nFollow the following format.\\n\\nProblem Statement: ${problem_statement}\\n\\nSample Input: The sample input provided with the problem statement.\\n\\nSample Output: The sample output provided with the problem statement.\\n\\nReasoning: Let\\'s think step by step in order to ${produce the output fields}. We ...\\n\\nSolution: a solution explanation for how we should go about solving this problem.\\n\\n---\\n\\nProblem Statement:\\n*Bejeweled*β„’ is a classic puzzle game where the player tries to match three-in-a-row in a 2D grid of tiles by swapping pairs of adjacent tiles.\\n\\n*Isblinged*β„’ is Hacker Cup\\'s spinoff, played on a grid of \\\\(R\\\\) rows by \\\\(C\\\\) columns of tiles. The tile at \\\\((i, j)\\\\) is of an integer type \\\\(G_{i,j}\\\\). A *group* refers to three or more tiles of the same type, connected directly or indirectly via the four orthogonal directions (left, right, up, and down). Initially, the given grid \\\\(G\\\\) may already contain groups.\\n\\nThe player may swap two orthogonally adjacent tiles *of different types*. If the swap results in either tile being in a group of three or more tiles, then all tiles in the *newly-formed group(s)* are cleared.\\n\\nFor the example below (sample case 2), swapping the first two tiles in row \\\\(1\\\\) would clear \\\\(9\\\\) tiles:\\n\\n{{PHOTO_ID:1310493279783732|WIDTH:700}}\\n\\nOn the other hand, swapping the first two tiles in the second column would clear \\\\(12\\\\) tiles;\\n\\n{{PHOTO_ID:650302073463012|WIDTH:700}}\\n\\nNote that the type-3 group is not cleared because it doesn\\'t contain a swapped tile.\\n\\nPlease find the *sum* of tiles that would be cleared over all possible theoretical swaps of ordered pairs of tiles \\\\(G_{i_1, j_1}\\\\) and \\\\(G_{i_2, j_2}\\\\) such that \\\\(|i_1 - i_2| + |j_1 - j_2| = 1\\\\) and \\\\(G_{i_1, j_1} \\\\ne G_{i_2, j_2}\\\\).\\n\\n\\n# Constraints\\n\\n\\\\(1 \\\\le T \\\\le 105\\\\)\\n\\\\(1 \\\\le R, C \\\\le 3000\\\\)\\n\\\\(1 \\\\le G_{i,j} \\\\le 10^9\\\\)\\n\\nThe sum of \\\\(R*C\\\\) across all test cases is at most \\\\(40{,}000{,}000\\\\).\\n\\n\\n# Input Format\\n\\nInput begins with an integer \\\\(T\\\\), the number of cases. For each case, there is first a line containing two space-separated integers, \\\\(R\\\\) and \\\\(C\\\\). Then, \\\\(R\\\\) lines follow, the \\\\(i\\\\)th of which contains \\\\(C\\\\) space-separated integers \\\\(G_{i,1..C}\\\\).\\n\\n\\n# Output Format\\n\\nFor the \\\\(i\\\\)th case, print a line containing `\"Case #i: \"` followed by a single integer, the sum of tiles that can be cleared with a single swap.\\n\\n\\n# Sample Explanation\\n\\nIn the first sample case:\\n- \\\\(G_{1,1}\\\\), \\\\(G_{1,3}\\\\), and \\\\(G_{2,3}\\\\) can\\'t be swapped with anything that leads to any tiles being cleared.\\n- \\\\(G_{1,2}\\\\) can be swapped with the type-2 tile below to clear \\\\(3\\\\) tiles.\\n- \\\\(G_{2,1}\\\\) can be swapped with the type-2 tile right of it to clear \\\\(3\\\\) tiles.\\n- \\\\(G_{2,2}\\\\) can be swapped with either the type-1 cell above or to the left, each clearing \\\\(3\\\\) tiles.\\n\\nThe answer is therefore \\\\(3 + 3 + 2*3 = 12\\\\).\\n\\nIn the second sample case, the unordered pairs of swaps clearing non-zero numbers of tiles are:\\n- \\\\(G_{1,1} \\\\leftrightarrow G_{1,2} \\\\): clearing \\\\(9\\\\) tiles\\n- \\\\(G_{1,2} \\\\leftrightarrow G_{1,3} \\\\): clearing \\\\(5 + 3 = 8\\\\) tiles\\n- \\\\(G_{1,2} \\\\leftrightarrow G_{2,1} \\\\): clearing \\\\(9 + 3 = 12\\\\) tiles\\n- \\\\(G_{1,3} \\\\leftrightarrow G_{2,3} \\\\): clearing \\\\(5\\\\) tiles\\n- \\\\(G_{1,4} \\\\leftrightarrow G_{2,4} \\\\): clearing \\\\(4\\\\) tiles\\n- \\\\(G_{2,2} \\\\leftrightarrow G_{2,3} \\\\): clearing \\\\(6\\\\) tiles\\n- \\\\(G_{2,2} \\\\leftrightarrow G_{3,2} \\\\): clearing \\\\(4\\\\) tiles\\n- \\\\(G_{2,4} \\\\leftrightarrow G_{2,5} \\\\): clearing \\\\(4\\\\) tiles\\n- \\\\(G_{3,1} \\\\leftrightarrow G_{3,2} \\\\): clearing \\\\(4\\\\) tiles\\n\\nDoubling the sum for ordered pairs, we get \\\\(2*(9+8+12+5+4+6+4+4+4) = 112\\\\).\\n\\n\\n\\nSample Input:\\n3\\n2 3\\n1 1 2\\n1 2 3\\n3 5\\n1 2 1 1 1\\n1 1 2 2 1\\n1 3 3 3 1\\n4 4\\n1 1 1 4\\n1 2 1 1\\n3 2 3 4\\n3 2 2 2\\n\\n\\nSample Output:\\nCase #1: 12\\nCase #2: 112\\nCase #3: 74\\n\\nPlease provide the output fields Reasoning then Solution. Do so immediately, without additional content before or after, and precisely as the format above shows. 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 problem_statementsample_inputsample_outputexample_solutionpred_solutionvalidate_solution
0Ishiko is opening a bracelet shop. Each bracelet she plans to sell is expressed as a ring of \\(N\\) colored beads, with exactly \\(K\\) green...4\n", + "5 3\n", + "6 3\n", + "6 2\n", + "243447 42273\n", + "Case #1: 1\n", + "Case #2: 2\n", + "Case #3: 4\n", + "Case #4: 4\n", + "First we need to determine how many bracelets Ishiko is going to exhibit. When \\(N = K\\) (that is, when all of the beads are...The solution can be structured as follows: 1. **Calculate the Number of Distinct Bracelets**: - Implement the formula for counting distinct bracelets based on \\(N\\)...False
1Boss Rob planted \\(N\\) happy little hazel trees in his yard (represented on a Cartesian plane). The \\(i\\)th tree is at integer coordinates \\((X_i, Y_i)\\)....3 4 0 0 2 1 5 0 0 6 5 10 10 12 10 8 10 5 10 8 8 4 1 1 3...Case #1: 20\n", + "Case #2: 28\n", + "Case #3: 42\n", + "First, we'll note a greedy philosophy that if we can simply use a \\(2 \\times 2\\) square around all trees, that’d be the best solution...1. **Input Reading**: Read the number of test cases \\(T\\). For each test case, read the number of trees \\(N\\) and their coordinates. 2. **Sorting**:...False
2Alphonse is assembling an *alphabet tree* and arranging some adventures along the way. An alphabet tree is an unrooted tree with \\(N\\) nodes (numbered from...3 9 1 2 M 1 3 E 1 4 T 4 9 A 2 5 T 2 6 E 3 7 A 3 8...Case #1: 6 9 2 9 10\n", + "Case #2: 2 1 6 4\n", + "Case #3: 1 1 2\n", + "The first thing to do is root the tree, for which we can arbitrarily choose node \\(1\\). Each journey can be done in two phases:...To implement the solution, we can follow these steps: 1. **Data Structures**: - Use an adjacency list to represent the tree, where each node points...False
3Courtney has an avant-garde kitchen counter made out of \\(N\\) rectangular sheets of metal of equal height, standing perpendicular to the ground. When viewed directly...2\n", + "3 1 4\n", + "0 0\n", + "2 2\n", + "4 0\n", + "5 1 4\n", + "0 0\n", + "1 2\n", + "0 3\n", + "4 3\n", + "3 1\n", + "Case #1: 0.1169663730642699\n", + "Case #2: 0.1353445414060363\n", + "Let's call a position where the circle doesn't fall *stable*. First, let's see how we can check whether a given point is stable. Consider all...To solve the problem, we will follow these steps: 1. **Input Parsing**: Read the number of test cases \\(T\\). For each test case, read \\(N\\),...False
4You just landed a job as a machine learning engineer! As a ramp-up exercise, Boss Rob tasked you with modeling the watering wells in his...2 500 18.243577 16.343618 24.560940 7.478552 13.664297 0.348593 19.766713 16.871980 14.052491 10.567715 21.426414 5.786941 20.495098 -0.246197 20.706538 14.324784 13.240629 9.591812 18.131521 1.645394 13.085966 5.206907 12.705525...Case #1: 6 10 30 2 19\n", + "Case #2: 40 50 38 45 13\n", + "There are many ways you might approach this problem, but a simple one is to find the pair of circles that contain all the given...1. Calculate the centroid of the tree coordinates to estimate \\((A_x, A_y)\\). 2. For each tree, compute the distance from the centroid to the tree's...False
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